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Category Archives: social networks
Social media platforms have become really huge. They have very large numbers of users, who share very large numbers of messages, images, videos, and so forth. They have a whole lot of spare cash, either from advertising revenue or from IPOs. They have not only become an intrinsic part of interpersonal communication and of the way we inform ourselves, but much of what news organizations report nowadays seems to be about who tweets what to whom with what effect. The controversy around how Facebook editorializes the newsfeed and trending topics is only the latest indicator for the enormous imprint on the circulation of information and ideas the company now has. The European Commission has recently launched a public consultation on the role of platforms, in reaction to two reports by the German and French governments on the topic.
One of the key terms in all of this is "transparency". Often this concerns moments of decision-making such as ranking, filtering, pricing, suggesting, and so forth. And often the debate focuses on the role of algorithms vs moments of human discretion (the opposition is problematic in many ways, but that's another topic). Demands for transparency then focus on "opening the black box" and Facebook's recently published guidelines fit into this framework. But there is another aspect to transparency that is less often evoked, which concerns the question "what is actually going on in these platforms?". This goes beyond the question of algorithms to include the very communicational makeup of these systems (interfaces, functions, etc.) and, even more importantly, the concrete results of large masses of users actually integrating these technical elements into their practices. Transparency, in that sense, is not simply concerned with knowledge about the system's design, but with the ways users and technical infrastructure form an integrated whole that produces specific outcomes in terms of circulation of information and ideas. One way to understand this integrated whole a little better is empirical research, whether it happens on the micro level in the form of ethnography, on the meso level around specific issues, or on the macro level in the form of large statistical aggregations. Empirical research is, ultimately, the only way to understand what the editorializing (which includes the full design of the service, not just filtering) of Facebook and other companies actually means in terms of outcomes or effects.
But empirical research on large online platforms is getting more and more difficult. Last year, Facebook removed a number of functions from their API, and research applications like Netvizz lost a part of their capacity to produce transparency by giving researchers the means to do (a certain kind of data-driven) empirical research. The latest case is Instagram. Already a year ago, the company announced that every application would have to go through a permission review to be allowed to continue. My own Instagram Hashtag Explorer (which I renamed to Visual Tagnet Explorer – VTE – to conform to the app guidelines which prohibit the use of the company name) has been relying on API data to help researchers understand how people use Instagram to produce visual and textual accounts of issues, events, places, companies, and so forth. After submitting the app for review, I today received notification that the application was denied. A detailed description of the tool and a screencast that attempted to connect the tool – in not totally absurd ways I think – to the "accepted use cases" were not good enough to yield any more commentary than this:
Now, we can lament about lost programming time (it wasn't much fortunately) and research projects that will run into trouble, but the real problem, I think, connects to the question of transparency as I framed it above. Sure, a little script would never have solved the problem how to understand platform dynamics, but it was a little step on the ladder. There are certainly other means to do research and even data-driven research will be possible through scraping. But I wonder how far ethnographic studies, for example, are able to address questions concerning macro effects. And I wonder how sustainable and scalable scraping is. Sure, we can play the cat and mouse game with automatic bot detection and evolving interfaces, but is this going to produce the large window on these platforms we need to really understand them in terms of their effects on publicness? Maybe I'll make some changes to VTE and submit it again, even though I have basically no feedback to go on. Maybe it will pass. But the larger problem will remain.
What is needed, I think, is something different. Yes, data retrieval, even by academic researchers, raises concerns about privacy. But privacy is not the only legitimate political aspiration, here. What, indeed, about publicness? What about the need to know about stuff in order to make democratic decisions? How to even begin to think about regulation if real outcomes are getting more and more difficult to assess? This is why I want to iterate an argument that I already tried to make during the EC's public consultation: we need a legal framework to guarantee at least some access to API data, at least for some people. It is certainly nice that companies start research collaborations, but these fit of course into a sanitized view on their services. We therefore need, I think, something that is able to express the public's legitimate interest to know "what's going on" and access to API data is, in my view, a more promising avenue than the forms of purely technical or operational transparency that are often discussed. Fair use principles, for example concerning copyright, exist in academia because there is a belief that research that is not beholden to corporate interest performs a function in public life that is worth protecting. Can we imagine something similar with API data? A legally protected means to do research into these platforms? To find a compromise between privacy and publicness, we would have to find a way to distinguish between "disinterested" research and other applications. But technically, everything is in place. The APIs are there, even if they are closing down after their utility for growing the ecosystem has expired and selling data to analytics companies is becoming a revenue stream. The tools are in place and the researchers are starting to understand how to use them in useful ways. Compared to the daunting legal battles around antitrust measures, it's almost banal to make this a reality.
Even if this idea proves to be a pipe dream, I think that we have to widen the debate around the values to take into account when criticizing the role of platforms in public life. Privacy is important, but public understanding of outcomes is as well.
When it comes to social media, YouTube is maybe the most understudied platform considering it's enormous popularity in the context of popular culture, politics, and commerce. As part of a long term project on APIs from a software/platform studies perspective, but also in relation to the technical fieldwork required for data-driven empirical work, I have been testing the interfaces of quite a number of services now. To make this investigation productive beyond conceptual reflection, I've been building digital methods research tools for every system I look at. Nothing beats getting your hands dirty.
Since Google closed its search API some years ago, I haven't really had a look at their services, but when a student of mine, Anouk Brouwer, started a thesis project on the booktube community on YouTube, I was not only fascinated by the booktube phenomenon and similar practices, but eager to revisit some older scripts and the new Data API v3 to see what kind of analyses would be possible. Google now has a centralized credential system for most of their APIs and a new quota framework where different calls cost different amounts of points. This sounds complicated, but since the quotas are extremely high (50M points/day, 3K calls/second), this is basically API dream land. After banging my head against Facebook's technical and legal bureaucracy, it's been extremely rewarding to work with a system that can take much, much more than I'm able to throw at it.
The outcome of this is a new set of scripts, called YouTube Data Tools (YTDT). You can try them out directly online or get the source code. For the moment, there are five modules that focus on different sections of the platform. The different features are explained in the tool interface, but I wanted to share a small experiment, made with the Channel Network module. This module starts from a set of channel ids and then crawls into the network constituted by YouTube's featured channel feature (channels can "feature" other channels, basically just linking to them from their "channels" tab). The following image, made with gephi, shows a network of nearly 40k channels retrieved by starting with a single seed (the Vsauce channel) and crawling 7 steps into the network (click on the image for a much larger version, a PDF file is also available, as is the data):
Since a number of channels do not make their view count available, node size and color encode the number of subscribers. I've deleted the labels for channels with fewer than 100k subscribers for better readability and used OpenOrd for spatialization. The network is strongly clustered, in particular around practices (gaming, fashion & makeup, etc.), languages, and corporate affiliations (e.g. the Vevo and Disney empires). I wasn't entirely aware just how many people like to watch other people play games. YouTube is obviously much bigger than this, but the map should show a sizeable portion of the upper echelons of the YouTube hierarchy.
YTDT allows for many other kinds of analysis, and I am planning to introduce them in an overview video in the hopefully not too far future. This is still an early version, but maybe already useful to some people out there.
EDIT (13/05/2015): I made an introductory video:
It's just a quick overview, but hopefully useful as a starting point.
EDIT (23/01/2015): Changed some text to make clear that you can still run Netvizz by grabbing the source code, registering a new app, and running it in developer mode.
EDIT (25/01/2015): I have written a small install guide for the source code on github. I'm unfortunately unable to help with individual problems, if you're unfamiliar with server administration, your department's tech support team should be able to help.
EDIT (28/01/2015): Since Facebook has changed the way apps are created, you can apparently no longer run just scripts requiring extended permissions in newly created apps, even in developer mode (making my source code useless for you). I have therefore whipped up a version of Netvizz that can only do pages and groups without requiring extended permissions. Since this does not have to go through review, you can use the app directly here.
EDIT (29/01/2015): Facebook's policy review has accepted the new version of Netvizz (with personal network functions removed) and the app is again accessible here. API v1.0 is still going to be retired in April and this may pose problems, but this is something for another day.
EDIT (02/05/2015): API v1.0 has now been retired, but a new version of Netvizz (v1.2) has survived the changes and should continue functioning in the foreseeable future. Personal and group friendship networks are gone for good.
Original Post:
Today Netvizz, an app that allows researchers to download data from the Facebook platform, was suspended by the company and I received a mail explaining why:
Your app is violating the following Platform Policies:
Platform Policy Section 1: Build a quality product.
Platform Policy 1.1: Build an app that is stable and easily navigable.Platform Policy 3.3: Only use friend data (including friends list) in the person's experience in your app.
To clarify, your app should be stable and easy to use and shouldn't stall escessively. Additionally, you should not allow friend data export, even if that data is anonymized. You can access the full list of our Platform Policies here: https://developers.facebook.com/policy/.
Since Facebook has recently been very preoccupied with app privacy – for very good reasons actually – this does not come as a surprise. I have been anticipating API changes and the retirement of version 1.0 that comes with some very sensible changes in how data is delivered to platform apps for a while. Apps are clearly one of the biggest problems when it comes to Facebook's privacy puzzle and most changes make a lot of sense. As Bernie Hogan wrote here, friendship connections are one of the casualties, as they will no longer be available to apps at all (v2.2 no longer makes them available). I was hoping to stall a little by moving to API v2.0, which still runs until April 2016, but this seems no longer viable after this morning's news. As much as I agree with the general changes Facebook is making, I think it is a real shame that the analytical possibilities apps like Netvizz afford will no longer be available to researchers.
Over its roughly five year life span, what started as an inquiry into Facebook's API, ultimately had over 60K unique users and analyzing their friendship network has been the start into graph analysis for many people. GetNet, a modified version of Netvizz, was used by Lada Adamic in her highly successful Coursera MOOC, allowing students to look at a network they are intimately familiar with, making network visualization much more tangible. GetNet actually still works, but will probably break in April 2015, if not shut down earlier.
For me personally, Netvizz has been a ambivalent project. On the one side, I enjoyed the tinkering with the API, but on the other, maintaining a complex tool in my spare time has often been a challenge. As anybody who offers software online for free will tell you, the mass of not always friendly emails can be daunting. I'm also not a computer scientist and I work in a humanities department, where technical work does not really count in performance reviews.
But the real problem with the current situation has little to do with me and much more with the many courses and research projects that have been relying on Netvizz. They are left out in the cold. So here are some elements that will hopefully help them deal with the situation:
- Despite my hesitation to make software public that can be used very easily to download large amounts of non-anonymized data, there is so much code already in the wild that another set of scripts is not going to make much of a difference. I'm therefore making Netvizz' source code publicly available.
This should allow research projects relying on Netvizz to take the source code, register their own app at developers.facebook.com and run it in developer mode (just to make this clear, since I am the developer, I can actually still run the app, but it is no longer publicly available), which should work until April 30, 2015, the day v1.0 of the API retires.I apologize for the crappy code quality, this is one of those projects that grow and grow and never get a real redesign. - I will try to enter into further communication with Facebook to see what can be done, but I don't expect much from that.
- If that does not work, I will submit a version of Netvizz version for review that excludes personal network features and focuses on pages and groups. It's still going to "stall excessively", though, since it gets a lot of data.
I have no idea how long any of this make take. In the meantime, check out this list for alternatives, most of which hopefully still work. But make no mistake: this may well be the beginning of the end for external Facebook research with digital methods.
It's a hot day in Amsterdam and writing is going slow. After reading this post on reddit, I ditched the writing for some playtime. In the post, /u/duckvimes_ charts the moderator overlaps between between /r/holocaust and a bunch of racist subreddits. The case is super interesting and the visualization very well done, but I thought that one could generalize the approach and create a map of reddit by looking at how subreddits' moderators overlap. So I quickly wrote three scripts:
- A script that gets the 10.000 most polular subreddits according to the GET_subreddits_popular API call.
- A script that gets the moderator list for each of these subreddits
- A script that generates a bipartite graph file containing all subreddits and moderators and connections between them
You can download a GDF file containing the 3000 most subscribed to subreddits file here.
To generate the visualization above (click for larger image, here's a PDF), I used gephi's MultiMode plugin to transform the bipartite graph (which contains both subreddits and users) into a monopartite graph that connects two subreddits if they share a moderator; the more mods they share, the higher the link weight. In the visualization below, node size indicates number of subscribers and color the created date (blue => yellow => red indicates older to younger). Enjoy. (And now back to writing.)
Facebook is a nasty thing to study. It is much more complicated – in terms of interface, architecture, features, etc. – than Twitter for example. It has a lot of users and different types of interaction spaces. It is rather easy to extract a lot of data from it, particularly for companies creating apps and focusing on individual users and their network neighborhoods – but it is really difficult to get any kind of macro view. Pages and groups are the main "holes" through which researchers that don't have an agreement with Facebook can get an idea about interaction patterns and the brand of publicness the service provides. Some time ago, I added page analysis features to netvizz and we've been doing some interesting things with that feature. A couple of months ago, I learned from Erik Hekman that the SQL code I used to extract friendship connections for ego networks and groups could actually be applied to any list of users. I am not yet fully sure how privacy settings affect this, but for a while now, the developer version of netvizz has been able to extract friendship connections between users active on a page. This feature will not make it into the public version (or maybe limited to a very low number of users), because the number of API calls necessary to get the connections grows with no of users^2 / 2, quickly leading to impossible waiting time. It's still an interesting approach that merits a quick post.
The following network diagram (click for larger image) shows a bipartite graph containing the last 50 posts from the Facebook page of the European Green Party and the 3768 users liking or commenting posts. Posts are in black and users range from blue to red depending on the number of times they engaged with content on the page.
There are already quite a number of things one could say about the page using the standard netvizz data. But let's have a look what friendship connections can add. The next diagram is exactly the same as the last one, but adds friendship connections between users in green (click for larger image).
There seems to be one pretty big group at the top that are a lot friends with each other and those are probably activists. The contents in that area seem to have to do with the official start of the campaign for the upcoming European Parliament elections. At the bottom slightly to the right is another dense cluster of users that one could qualify as issue audience – users that engage with topics such as GMOs or surveillance. The other two groups on the left are harder to qualify. I have to add an important point though. To facilitate comparability, I spatialized the nodes with friendship relations present. To generate the first diagram, I then simply removed those edges but left the layout intact. In the following image, though, I reapplied Mathieu Jacomy's ForceAtlas 2 algorithm.
Now, only the edges encoding interaction or "engagement" between users and posts are taken account and the friendships no longer are. The way the posts are related to each other changes surprisingly little. Only the "asylum and migration" (a political initiative) post is placed a bit more to the top left, probably pulled by the top cluster of dense friendship connections. What that means, I guess, is that the engagement with content correlates with "social structure", or whatever friendships on Facebook could meaningfully express. If the four tightly knit pockets were more heterogeneous in the way they engage with content, removing the friendship connections and rerunning the algorithm would have deformed the post distribution much more. If we consider that European parties have a quite fragmented party structure, this is not surprising. To probe a bit, I colored the interface language of the nodes in the next diagram (again back to spatialization with friendship connections taken into account, although they're not shown in the image):
Certainly, there is some language clustering in the top group. And the one at the bottom, the one I called "issue audience" above, that's the Germans. But still, this is a pretty diverse audience, very cool. There are clearly a lot of activists on that page, people traveling and exchanging, that's why they are so connected. But the picture changes a little if we take the content out of the picture and look at friendship structure only:
First, we notice that most of the users are not connected to the big component in the middle; there's a scattered audience next to the activists. Second, we see quite a large number of components with two or three nodes. These are very probably artifacts of Facebook's architecture. If I like a post on a page, it has a certain chance of appearing in my friends' newsfeed, where it can the be liked or commented on without every going to the page directly. I've seen these smaller components even more on other pages and this seems to be the most probable explanation. Third, despite stronger clustering without the content holding things together, there is still a very large connected component that comprises a bit over a third of the active users. Fourth, the most active users (the heat scale still shows number of engagements) are not necessarily the most connected ones.
To close off, two last diagrams, first with color encoding interface language:
This confirms the clustering by language/county, but also shows that there indeed is quite some mixing. Looking for the connectors between the countries clusters is relatively easy using betweenness centrality (color, again using a heat scale):
While netvizz provides node data in anonymized form, all of this stuff is available through the Facebook API with real names attached. I hope that users are aware at this point that pages are highly public spaces that can easily be profiled in quite some detail by anybody with a little programming skill. If I wanted to disrupt this organization, I'd start with the red dot in the last network diagram. Is it chilly in here?
This could be developed much further as well. But I am not sure yet how much weight one can put on the friendship data because of the question how much is missing because of privacy settings (which you may want to learn more about). The fact that obviously a lot of connections are publicly visible and relatively easy to harvest in small doses would merit much more discussion on its own. I am also pretty sure that big pages over large timespans are completely out of the question for reasons of the dreaded combinatorial explosion kicking in. Remember the rice corns on the chess board? And even if one would succeed in hammering the API, the data would be very difficult to analyze and to untangle. Lots of custom math needed; or a lot of patience; or both.
This could go nowhere but the results warrant a followup.
This should probably go into a funstuff section somewhere, but I used some moments of free time today to upload a script I have written some time ago to github. It's a very simple piece of code that grabs images tagged with a specified word and, by looking at which tags appear together, creates a co-tag graph file in .gdf format. You can get it from here or run it here. To test how it scales – and to finally know what teens (apparently tumblr's main audience) dream of – I tried it with 500 sets of 20 images for the tag "dream". This leads to some 7K distinct tags and after some filtering, that's what comes out (click image for lager view):
Node size is occurrence count and color (blue => yellow => red) is betweenness centrality. Apparently, love is still a thing out there. Nice.
This may become an actual tool further down the road, but maybe it's already useful to somebody as is.
EDIT: Try it out here: https://lab.digitalmethods.net/~brieder/tumblr/tagnet/
I have recently added a new feature to the netvizz application: page like networks. This is basically a simple "like crawler" for like relationships between pages on Facebook. It starts with a seed page, gets all the pages liked by it, then gets their likes and so forth. Well, because the feature is new, I'm limiting crawl depth to two, in order to see how many resources are needed. In this post, I'll quickly go over an example to show what one can do with this, but also to discuss a number of questions related to network analysis and visualization as such.
Network analysis and visualization (NAV) has made quite an entry into social science and humanities research circles over the last couple of years and the hype has contributed to the dominance of the network concept in new media studies and beyond. This dominance has been rightfully criticized and the pretty pictures of points and lines have received their fair share of disparaging commentary. While there are many questions and problems related to NAV, a lot of the criticism I have read or heard is superficial and lacks both understanding of the analytical gestures put forward by NAV and literacy of the diagrams one encounters so frequently now. Concerning the latter point, the main error is to consider the output of network visualization first and foremost as an image; with Barthes, I would suggest to look at them as denotative rather than connotative, as language or code more than image. This means that successful use of a network diagram requires reading skills and knowledge of the production apparatus. In their absence, well, every diagram looks likely the same.
To tease out something truly interesting from a graph – the mathematical representation of a network – a lot is needed and many, many mistakes can be made. But much like statistics, NAV is a powerful tool if handled with care. Let's consider the following gephi diagram (data available as a .gdf file here, click for larger image):
This is the visualization of a network of 370 pages on Facebook with every node a page and every link an act of "liking". Keeping with the topic of a recent data-sprint we had with our New Media and Digital Culture MA students about Anti-Islamism, I took the "Stop Islamization of the World" page as starting point and crawled two steps into the network. The result is a quite striking web of pages that clusters – at least according to gephi's modularity algorithm – quite neatly into four groups. In purple, we find a group of pages (122 nodes) that are explicitly focused on countering Islam; in green – and very well connected to the first group – there is a "defence league" cluster (79 nodes), basically a network of strongly islamophobic street protest groups; in red, we see a group of sites associated with Israel (145 nodes); finally, in turquoise, a much smaller and eccentric group (24 nodes) that could be called "tattoo cluster" dedicated to getting ink done. Because pages do not necessarily reciprocate liking, this is a directed graph, i.e. every link has a source and a target. The curve of the links encodes this direction: a link that bends clockwise in relation to a node is an outgoing link, counter-clockwise is incoming. In this diagram – and in all that follow – node size is a simple count of inlinks.
How does one read something like this? What does it mean? At first glance, a like crawl starting with an islamophobic page results in a large number of pages related to Israel. But what kind of entanglement is this? I think that this question cannot be answered intelligently simply by looking at a single projection of the graph as a diagram. Besides a healthy distrust of the data (why this seed? why not others? how does crawl depth affect the result? are there privacy settings in place? etc.), any non-trivial network needs to be investigated from different angles to even begin understanding its structure. As I have tried to show elsewhere, different layout algorithms flatten the n-dimensional adjacency matrix into two-dimensional diagrams in quite different ways, each bringing particular aspects of the graph structure to the foreground. But there is much more to take into account. In the above diagram, we can easily spot nodes that are bigger than others, meaning that they receive more likes. (side node: it really helps to download all images and flip through them with a decent image viewer – all networks have exactly the same size and layout, only the color changes) Can we conclude that "United with Israel" and the "Isreali Defense Forces" (both 55 inlinks) are the most important actors in this network? And what would "important" then mean? Let's start with Google's definition and apply PageRank to our network using a heat scale (blue => yellow => red, click for larger image):
This is quite striking. We start with an Anti-Islam page and end up with the Isreali Defense Forces as the node with the most authority. Now, as I have tried to show recently, PageRank is a complicated beast and far from a simple measure of popularity. Rather, one can think about it as a complex flow of status along links that is highly dependent on topological positioning. Who links is at least as important as the number of links – and because status is passed along, the question of who does not link is crucial. Non-random networks are generally strongly hierarchical and PageRank exploits these asymmetries to the fullest. Let's investigate further by looking at our network in aggregate form:
Already, a certain disequilibrium becomes visible here: while the Anti-Islam and Defence League clusters are liking back and forth in roughly equal manner, both like pages in the Israel cluster a lot more than they are liked back. But the disequilibrium is certainly not strong enough to simply diagnose a case of non-reciprocated affection. This would have been too easy. To further qualify the graph structure, we need to be able to say more about who links and who does not link. Let's leave the force-based layout for a moment and look at the network in yet another way (click for larger image):
Here, I have not only arranged nodes on a line, grouped by clusters and ordered by inlink count, but I have also colored links according to their target. This means that we can very well see (on the hi-res image at least) into which cluster individual nodes are linking and even get an aggregate picture of relationships between groups. A nuanced account begins to emerge by looking at the linking practices of the top 10 pages: in the purple anti-islam cluster, page 1,2,4,6,7 and 9 link to the red israel cluster; in the green defence league cluster, 5 and 8 do so as well. But in the Israel cluster, only page 8 and 10 link to the former two. We can thus further qualify the disequilibrium mentioned above: in additional to a mere imbalance in numbers, we can observe a disequilibrium in status; high status nodes from the extremist clusters link to the Israel group, but the latter's top pages do not like back. This explains why PageRank concentrates on the IDF page: it receives a lot of status, but does not feed it back into the network. If Facebook can stand in for the mapping of complex socio-political relationships – which it probably cannot – we could argue that the "official" Israel is clearly reluctant to associate with islamophobic extremism. But then, why is there a network in the first place? What holds it together?
Let's start by looking at the most prolific likers in our network. The next diagram (click for larger image) shows the nodes with the highest outlink count:
Here, we see the most active likers, but we also notice that the page with the most likes ("We Stand With Israel – Siotw") is quite small, which means that other pages do not like it very much. A better way to look at network cohesion in terms of structural positioning is thus to use a measure called betweenness centrality (click for larger image):
Betweenness centrality is often interpreted as close to the notion of bridging capital, i.e. the capacity of an actor to connect different groups. Because betweenness centrality is calculated by looking at the placement of nodes on the shortest paths in a network, it is not simply the heaviest linkers that are being put to the front here. However, some of the heavy linkers remain indeed important and if we take away "We Stand With Israel – Siotw", a large number of the likes from the Israel cluster to the other two evaporate. The heavy linkers are indeed important for holding the network together.
But we also see the rise of a very interesting node, "Stand for Israel". While it receives likes from apparently neutral pages such as "Visit Israel", it is the top Israel cluster page to link into the Defence League cluster, to the "United States Defense League" page to be precise. While "Stand for Israel" announces on their page that "Violent, obscene, profane, hateful, or racist content will be deleted and offenders blocked from the page without notice" (and this indeed seems to be the case), they do like a page that is full of exactly that. That's playing the role of a broker. In a sense, we can look at like patterns to produce actor descriptions.
What emerges through this still very superficial exploration – I made a point of not looking at the pages themselves as much as possible to focus on a pure NAV approach (which would be quite absurd in an actual research project) – is a set of rather complex relationships between pages that needs to be examined in different ways to even begin to make sense of. The diagrams, here, are not means to communicate findings, but artifacts that become truly salient only by combining, juxtaposing, and narrating them in combination. They are somehow less explanatory than in need of explanation. Let's look at a final diagram to add yet another perspective (click for larger image):
Here, the heat scale encodes "like_count", i.e. the number of times a page has been liked by Facebook users, not other pages. Suddenly, the picture flips completely. Albert Einstein and Tattoos lead the pack, but in the middle of the network, two nodes stand out, giving us further clues about how our clusters connect to larger political elements: "Tea Party Patriots" and "Being Conservative".
Again, I would be very hesitant to make any claims based on the NAV of a set of Facebook pages and how they like each other, in particular in a context as sensitive as this one. Nonetheless, I hope that it becomes clear from this quick example that NAV provides means to investigate a network through multilayered and nuanced explorations of structural patterns that are simply not visible to the naked eye. And this is only a small subset of the many analytical gestures afforded by NAV. In my view, there certainly is an inflation of network diagrams and there are many limits to analyzing phenomena through formalization as points and lines. But much like the case of statistics, the often problematic use of formal techniques should not mean that we have to throw out the baby with the bathwater.
While I am still somewhat of a beginner in NAV, if there is one thing I have learned, it is that we should see network diagrams as specific projections or interpretations of the graph, as slices that interrogate data in particular ways, and that multiple such perspectives are needed to actually produce a picture.
One of the reasons I started to develop the netvizz application, was to get better insights into how Facebook envisions exchange of data and functionality with third party developers. From the beginning, I was quite amazed how much data a third-party app could actually get from the platform – not only about the users that actually install an app, but also about their friends and the groups they are members of. I hope to provide a systematic account of what I've learned at some point in the future. But today, I want to discuss a particular element in some more detail, the "read_stream" permission.
To introduce the matter, a couple of points concerning the Facebook APIs as such: every application written by a third-party developer requires a logged in user and this user defines the "scope" of data access the running instance of the application can get – remember that applications are generally used by many users, so the data gleaned from individual scopes can be combined. Applications have to explicitly ask for permission to access certain items and Facebook provides extensive documentation on the permission system, the profile properties, and a set of extended permissions. Users are asked to grant these permissions when they first start an app. This is the permission dialogue for netvizz:
Netvizz currently asks for the following permissions: user_status, user_groups, friends_likes, user_likes, and read_stream. When installing, you cannot refuse individual elements that are not considered "extended permissions", only decide to not use the app at all. The user_status is actually superfluous and will be removed in the next iteration. The user_groups permission is needed to access group data and both _likes permissions are used for netvizz' like network functionality.
Now, working on a couple of new features over the last months, I started to get more interested in posts because they have probably become the closest thing to a "carrier of publicness" on the Facebook platform. I was quite amazed how easy it was to extract large numbers of users and (some) of their data from pages – both likes and comments users make on post on or by pages are in principle up for grabs. When doing some housekeeping recently, I noticed that some of the "engagement" metrics netvizz had provided for users' friends in earlier versions were either broken or outdated and I decided to simply count the number of likes and posts friends make to replace the older metrics. I expected to only be able to read likes – through the friends_likes permission – and public posts. This was indeed true: in the beginning, all I got were public posts. Because I could get much more data through the Graph API Explorer, a developer sandbox that asks for all permissions by default (which can be changed, a great way to explore the permission structure), I discovered the read_stream permission.
The read_stream permission is presented by Facebook in the following way: "Provides access to all the posts in the user's News Feed and enables your application to perform searches against the user's News Feed." It is a so-called "extended permission", the developer doc noting that "Extended Permissions give access to more sensitive info and the ability to publish and delete data". And, indeed, when asking for read_stream in netvizz, I suddenly got access to many more posts made by my friends, mostly going from "none" to "a lot". From what I could gather after some random testing was that I basically got access to all of the activities from my friends that would show up in my newsfeed, without the "top stories" filter. Because many things have the status of "post", I could get a rather detailed (and timestamped) account of what my friends are doing on the platform. You can check out your own "posts" feed by following this link into the Graph API Explorer. Because comments and likes by users who you are not friends with on posts by somebody you are friends with also show up in your news feed, the read_stream permission allows to capture their activity as well. Facebook seems to be aware of this: because read_stream is an extended permission it gets its own permission dialogue and can actually be skipped:
This is a good thing, but the wording seems a bit sparse: "Posts in your newsfeed" actually translates to "a minute account of your friends' activities". Granted, buried in the privacy settings is an option that allows us to modify more generally what information we share with the apps other people use, and these are the default settings:
It's the "Activities, interests, things I like" option that allows the read_stream permission to work its magic. The people I am friends with on the platform are generally a rather privacy conscious bunch, but I could get the posts from most of them.
This is not a privacy scandal of any sort, measures are in place, but one can still make a couple of points:
- Apps as means for data capture are clearly not discussed enough. For serious data collection, however, going through the API is clearly the way to go and we need to pay more attention to this.
- Again and again: defaults matter. As seen above, the data available to apps used by friends is quite extensive with default settings.
- Again and again: language matters. The read_stream permission dialogue is certainly not explicit enough. Also: why is "app privacy" not in the privacy tab here?
- When we log into a third party site with our Facebook login, we are basically running an app. May be worth pondering what data we are shipping over.
Exploring APIs as important actors in the privacy debate and beyond is crucial. It's often complicated work, though, and I hope that the developer community can help with that work a bit. It would be highly useful, I think.
Netvizz, a Facebook research app for extracting data from the dominant social networking service, has gained a new feature: page exploration. While the app has been able to get ego-networks and group networks from the start, this is the first time that data for pages can be extracted as well. The Social Network Importer for NodeXL already allows for extracting both co-engagement (users that comment or like the same post are connected) and bipartite networks (both posts and users are in the graph) from Facebook pages but requires you to use NodeXL and Microsoft Office on Windows.
The first implementation of page exploration on netvizz only provides bipartite network files only and yields less data on users, but adds information on the page posts themselves and outputs them both as a graph file and a simple tab-separated text file. For the moment, the app captures a user specified number of posts from the page and loads up to 1000 comments and 1000 likes. It also specifies the type of post in both of the files it generates. This is the (edgeless) network created from the last 100 posts of the New York Times Facebook page:
Users are gray, videos are blue, links are red, photos are yellow and status updates are green. Size is engagement. Because distance from the center indicates stronger engagement from non regular users, one can easily see that both photos and status updates are engaging a different audience than the links and videos.
Visualizing the data from the tsv file, we can explore these kind of relations further. Here, I used Mondrian's capacity to show highlights in one chart on all other open charts:
By selecting photos in the barchart, the scatterplot (x: likes, y: comments) shows that photos not only produce much higher engagement scores (the engagement value in both the tsv and gdf files combines numbers of likes, comments, shares, and likes for comments into a single metric) – the median for links is 453, but 1724 for photos – but that there is also a tendency for photos to provoke a comment/like ratio that trends toward the former. This is data from about 10 days of activity, so not suited to make any larger claims – interesting nonetheless.
As already mentioned here, the next step is to produce network files for multiple pages.
In my last post, I previewed a feature that I am currently building into netvizz: posts and users that comment and like them are thrown together into a bipartite graph. In this approach, it is easy to combine data from different pages, here from the 30 latest posts of the New York Times and the Wall Street Journal, plotting 27K users (bigger image behind the click):
The app will start spitting out more metrics in the next version, but it's easy to see from the gephi graph that the NY Times (red) has a bit more users (grey) than the WSJ (blue). There is a bit of overlap in terms of (active) audience, but in general, there seem to be quite distinct populations of the short span the data covers. Interestingly, one post – talking about the space shuttle Endeavor – is a true outlier: it has succeeded in capturing a less "specific" audience.
As this method could be applied to a potentially infinite number of pages, this is really becoming quite problematic in terms of privacy. I have cut the labels for users, but they are in the data. I am unsure about this for the moment, but this feature may not make it in full into the next version.


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It is amazing how powerful hypnosis can be in helping us deal with medical events. This video shows how it can help with cancer and surgery. So imagine how wonderful Hypnobabies Childbirth Hypnosis works for birth, which is something our body is meant to do!
Archive for the 'Birth Videos' Category
The Power of Medical Hypnosis
Posted in Birth Videos, Hypnobabies on February 2, 2012| Leave a Comment »
Birth Video: Malcolm's Hypnobabies Birth
Posted in Birth Story - Water Birth, Birth Videos, Hypnobabies on January 17, 2012| Leave a Comment »
Contemplating a Hypnobabies Home Birth? Dad Need Some Convincing?
Posted in Birth Videos on January 9, 2012| Leave a Comment »
This video may help!
The perfect video introducing dads/partners to the basics about homebirth – from the dad's perspective. When a family considers having a homebirth, it is rare for the dad to have another experienced dad to talk to. In this video a cross section of dads candidly answer questions about their concerns and considerations.
Hypnobabies Mom – 5ft 2in Bridget has 11 lb Baby! Part 1 Video
Posted in Birth Videos, Hypnobabies, Uncategorized on December 13, 2011| 2 Comments »
Belly Lift/Hypnobabies Video
Posted in Birth Videos, Hypnobabies, tagged belly lift on May 31, 2011| Leave a Comment »

subset: commoncrawl


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Add shop listings to online directory
- Status Closed
- Budget £5 - £10 GBP / hour
- Total Bids 13
Project Description
I am setting up an online directory of specific shops and details of specific information about these shops.
I am looking for someone with a good understanding of the English language to enter some of the the shop's details into this online directory. This is done by filling out the fields of an online form on the website, there are about 12 fields in the form, and most of the work will be cut and paste. Each entry should take no longer than 10 minutes and probably much quicker.
There is also scope for writing editorial and copy, which I will make available to you if you can demonstrate you have the command of English and the skills.
The shops will mainly be from the USA and UK, but could be from all over the world.
I will provide the winning bidder with a list of shops, which is essentially infinite but, we will start with an agreed number to see how it goes, and take it further if successful.
You will need to:
* Visit each shop's website
* Find the specific pages and data I am looking for
* Enter the urls of the pages and data into my directory submission form.
* Review data to ensure accuracy.
Experience is not necessary, but you must demonstrate that you have an understanding of the project and an ability to find data from websites and correctly and accurately add it into an online form.
Get free quotes for a project like thisLooking to make some money?
- Set your budget and the timeframe
- Outline your proposal
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Work on projects like this and make money from home!
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We understand that choosing the right location is important to you. Our CareLine is ready to assist you in making the right decision for care needed.
En Español (Spanish Version)
Only show results from the selected categories.
Dialysis is a treatment that takes over the job of your kidneys if they fail. The kidneys have many functions that help your body stay healthy. They help clear toxins out...
Not Sure What Service You Need? Click Here to Request Additional Information from our Care Experts


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Size | Availability? | price? | Qty | |
Cs (6x75cl)
Cs (6x75cl)
£1,055.00 | ||
Bt (75cl)
Bt (75cl)
£177.00 | ||
Mag (150cl)
Mag (150cl)
£351.00 |
Average critic rating : 96.0 points
96The 2011 Vina El Pison was one of the first single-vineyard wines in Rioja (and in the whole of Spain as a matter of fact) and today it's a famous vineyard throughout the world. It was planted by Juan Carlos Lopez de Lacalle's grandfather in 1945. The 2.4 hectare vineyard is located in Laguardia at 480 meters above sea level. The grapes ferment in open wooden vats and the wine ages for 15 months in French oak barrels. The 2011 is unashamedly ripe, with intense aromas of violets and ripe black cherries, verging on the black olives, with plenty of notes of spices. It has a very clear and persistent note of cinnamon and vanilla. It improves greatly with air and time in the glass. The palate reveals some grainy tannins, bright acidity, medium to full-bodied, with an intense, extra-long finish. Drink 2016-2028. ||I tasted Artadi's 2010s and 2011s, as they seem to be selling the new vintages very fast and they even sell part of their wines en primeur. 2010, 2011 and 2012 have been very dry years. I didn't have the chance to taste any 2012s, but I look forward to doing so the next time around. 2011 seems to be more fruit forward, more primary, without the complexity and depth of the 2010s, which were very elegant and is a superb vintage for Artadi. There are differences in texture between the two years, 2010 being more gentle, rounder and silkier and 2011 a bit wilder with a touch of rusticity. When it comes to production methods, only Tempranillo is used (except for the white which is produced exclusively with Viura), they destemmed all the grapes, the press wine never makes it into the final blends, and they only use French oak barrels.||Imported by Folio Fine Wine Partners, Napa, CA; tel. (707) 256-2700; www.foliowine.com Wine Advocate.December, 2013 |
Artadi is a winery in the Rioja region of Spain. Whilst Artadi wines do not follow a very traditional style of the area, they are highly regarded fruity top red wines.
See all wines from this Producer
FINE+RARE offers UK home delivery through our logistics partner London City Bond, with next day deliveries available for Central London addresses.
We deliver Monday to Friday; charges are £ 16 + VAT for up to 10 cases (12x75cl or equivalent) for most UK postcodes.
For delivery charges to Highlands, Islands and outlying areas, please contact our
Customer Service Team.
For deliveries into Hong Kong and Singapore, we offer a dedicated air and sea service.
For more details regarding delivery to Hong Kong, Singapore and all other destinations, please view our
International Delivery information page.
Spirits cannot travel on our services to Hong Kong, Singapore or Macau and require separate shipments. Please contact our
Customer Service Team for further information.
Our storage costs are highly competitive. We will happily accept cases or single bottles, charging pro-rata based on the number of bottles and length of storage period.
Unlike many other wine companies, our service includes storage of duty paid wines as well as in bond from any reputable source, not just those bought through FINE+RARE.
Please visit our F+R Storage information page for more details.
FINE+RARE can arrange delivery of your wines to your personal fine wine storage account:
Deliveries within London City Bond or to a Vinotheque storage account are charged at £ 8 + VAT for up to 10 cases (12x75cl or equivalent).
Deliveries to all other storage providers are charged at £ 16 + VAT for up to 10 cases (12x75cl or equivalent).
Please contact our Customer Service Team if you have any questions.


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Yaesu FT 857D, comes with the box, manual, power cord. Stock Mic, Optional Remote Mic,Yaesu TCXO upgrade board. One small chip in the paint on top cover.No bad pixels,NO Toko filter issue, radio works perfectly. $665 plus shipping. I will include an Inrad 2.1 Collins filter for $50 more. Paypal ok, email me if you need more info or pics. Thanks Richy N2ZD


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High-rise's digital life
High-rise Life
An innovative series of interactive documentaries currently in production aims to chart the fear and thrill of high-rise life. The New York Times is collaborating with film makers from Canada who aim to show how modern life has been shaped by high-rise accommodation. The New York Times has opened its photographic archives to the project, and readers of that paper are also being encouraged to submit their personal photos. Click hears from the New York Times's Jason Spingarn-Koff and the director of the Highrise project, Katerina Cizek.
(Photo credit: Rochdale Village in Queens, New York City, from the New York Times' photo archive – taken by staff photographer, Sam Falk in 1966)
Flickr and your data
Flickr plans to put your digital data to use in enhancing the photographic experience. But other than encouraging greater sharing, what use does Flickr have in mind; and with the garnering of this additional information does it raise concerns about privacy? Gareth Mitchell talks to Markus Spiering from Flickr.
Robots on Tour
At a former factory space in Zurich's industrial park robot watchers began queuing around the block earlier this month to meet the electrical friends we might soon introduce to our daily lives. Jamillah Knowles visits the Robots on Tour exhibition where some of the world's finest robot creators gathered for a symposium and to share their work with the public. Apart from the odd robotic vacuum cleaner, robots tend to be machines that are found doing heavy lifting in factories. They are seen as big and sometimes dangerous, but this exhibition is working to change our perception and to let us know that robots are our friends.


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By Elizabeth White | Article Rating: |
October 7, 2014 08:00 AM EDT | Reads: |
4,439 |
Azul Systems Inc. (Azul), the award-winning leader in Java runtime solutions, announced that its OpenJDK-based Zulu 8 offering is now freely available on Docker. Zulu 8 is a 100% open source, fully tested, compatibility verified, and trusted binary distribution of the OpenJDK 8 platform. Azul has also made Zulu versions compliant with earlier Java SE 7 and Java SE 6 standards available on Docker in the same format.
Docker is an open platform designed to enable the rapid development and deployment of distributed applications. Each "Dockerized" application is containerized and completely portable and can be run on any server or easily integrated with other Docker containers. As of mid-September 2014 the company had reported 21 million downloads.
Jay Lyman, Senior Analyst, Enterprise Software at 451 Research, said: "Docker and containerization are taking the enterprise IT world by storm as a better way to package, deploy and move applications, but there is still a lot of work required to make Docker enterprise-ready in terms of security, scale and management. Support for Java SE 8 on Docker is a step in the right direction, giving enterprise Docker users some of the security, stability and compliance assurances they expect."
Scott Sellers, CEO of Azul Systems, said: "Docker is rapidly changing the IT landscape in terms of how Cloud and on-premise applications are delivered, run and managed. With Zulu on Docker, Java programmers and DevOps benefit from free access to a proven and certified Java development kit and runtime, based on the 100% open source OpenJDK, which can be freely redistributed to others via the Docker hub registry."
For more information about Docker and Zulu Docker files, visit https://registry.hub.docker.com and search on the keyword Zulu.
About Zulu
Azul's Zulu is a build of OpenJDK that is aimed at companies who prefer a fully open source toolchain or who have key applications running on Java and need cost-effective, high-quality ongoing support across multiple major releases of Java. Zulu offers the following advantages to enterprises and Java programmers and DevOps personnel:
- Completely free, 100% open source, commercially-supported version of OpenJDK verified with the OpenJDK Java Compatibility Kit (JCK) for Java SE 8, 7, and 6;
- Runs on Windows Server, Windows, Mac OS X, and multiple Linux distributions, including Red Hat Enterprise Linux, SuSE Linux Enterprise Server, CentOS and Ubuntu;
- Integrated with Microsoft OpenTech's Azure plug-in for Eclipse Java tooling;
- Cloud-ready - supported on the Microsoft Azure Cloud, Amazon AWS, Rackspace, and other public and private cloud platforms;
- Fully supports virtualized deployments using VMware, Hyper-V and KVM and within Docker containers;
- Enterprise support options available via Zulu Enterprise (Premium support offering including ten-year support lifespan) plus community support via the Zulu Community Forum.
To learn more about Zulu and engage with other members of the Java community, join the Zulu Community at www.azulsystems.com/forums.
Note to Editors
Please note that "Docker Duke" images are available on request.
About Azul Systems @AzulSystems
Azul Systems, the industry's only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, standards-compliant Java runtime solutions that help enable the real time business. Zing is a JVM designed for enterprise Java applications and workloads that require any combination of low latency, high transaction rates, large working memory, and/or consistent response times. Zulu is Azul's freely available open source JVM based on OpenJDK, and Azul provides high-quality commercial support options with its Zulu Enterprise offering. For additional information, visit: www.azul.com.
Azul Systems, the Azul Systems logo, Zulu and Zing are registered trademarks, and ReadyNow! is a trademark of Azul Systems Inc. Java and OpenJDK are trademarks of Oracle Corporation and/or its affiliated companies in the United States and other countries. All other trademarks are the property of their respective holders.
DevOps: Disruptive but Essential in a Cloud Computing Universe
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential.
The DevOps Summit at Cloud Expo--to be held November 4-6 at the Santa Clara Convention Center in the heart of Silicon Valley--will expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has shown that DevOps dramatically reduces development time, the amount of enterprise IT professionals put out fires, and support time generally. Time spent on infrastructure development is significantly increased, and DevOps practitioners report more software releases and higher quality.
DevOps Summit content doubled from a single track in New York to two simultaneous tracks: "Dev" Developer Focus and "Ops" Operations Focus.
Join DevOps Summit Chair Andi Mann and Host Alan Shimel, November 4-6 for three days of intense DevOps discussion and focus.
We'll see you in Santa Clara! See you in November!
DevOps Summit Conference Schedule Announced! ▸ Here
Register For DevOps Summit "FREE" (limited time) ▸ Here
Website: DevOps Summit
Twitter: @DevOpsSummit
Bookmark "DevOps Journal" ▸ here
@DevOpsSummit Silicon Valley (November 4-6, 2014, Santa Clara, CA)
@DevOPsSummit New York (June 9-11, 2015, New York, NY)
DevOps Summit New York 2015 Call for Papers Now Open
Call for Papers will remain open through December 31, 2014. DevOps Summit New York 2015 will take place June 9-11, at the Javits Center, in New York City. Tracks and topics for DevOps Summit at Cloud Expo are listed below. Submit your speaking proposals here ▸ DevOps Summit Call for Papers
- Application delivery
- ROI and business value
- Site reliability
- Continuous delivery
- Kanban, Scrum, and Agile
- Continuous integration
- Release scalability
- Continuous release
- Service virtualization
- Operational monitoring
- Capacity management
- Load testing
- Quality assurance
- Manager and exec support
- Release automation
- Cultural change
- Breaking down IT silos
- Cloud development
- Cloud platforms
- Test automation
- Teaming
- Application security
- API management
- Identity and access
- Audit and control
- DevOps and ITIL, ISO, Six Sigma, COBIT
- Mobile DevOps
- DevOps for legacy systems
- Software-defined servers
- Network automation
- Server automation
- Configuration automation
- Continuous support
- DevOps anti-patterns
- Enterprise DevOps
- DevOps system architecture
- IT orchestration
- Containerization
- DevOps skills and training
- WebOps, CloudOps, ChatOps, NoOps
- Change management
Video Highlights From DevOps Summit at Cloud Expo New York
While there are many ways to define DevOps, the goal of the concept is to be able to deliver IT solutions faster, leveraging several technology tools to add value for business. Cloud companies have demonstrated how they can manage massive pools of IT infrastructure, giving the developer a very flexible resource pool that they can leverage and IT is eager to do the same.
Is DevOps Really Changing How IT Is Working?
In this Power Panel at 2nd DevOps Summit moderated by Cloud Expo Tech Chair Larry Carvalho, Bernard Golden, VP, Strategy at ActiveState; Andi Mann, VP of Strategic Solutions at CA Technologies; John Willis, VP of Customer Enablement at Stateless Networks; Randy Bias, Co-Founder and CTO of Cloudscaling; and Vasu Sankhavaram, Chief Strategist of DevOps and Cross Portfolio Architecture Alignment within HP Software, discuss this movement that is delivering frictionless IT to the enterprise.
DevOps and Security
From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises - and delivering real results. In this DevOps Summit Power Panel (http://DevOpsSummit.SYS-CON.com/) on June 9 at our New York City studio, moderated by Andi Mann, DevOps Summit conference chair and VP of Strategic Solutions at CA Technologies, John Willis, VP of Customer Enablement for Stateless Networks; JP Morgenthal, Director, Cloud Computing Practice at Perficient, Inc.; Vanessa Alvarez, Cloud Expo Conference Chair and Marketing Team at Amazon; and Gordon Haff, Cloud Evangelist at Red Hat; discussed how security needs to be embraced and brought into the DevOps movement.
Is DevOps Changing Enterprise IT?
Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. In this DevOps Summit Power Panel on June 9 at our New York City studio, moderated by Andi Mann, DevOps Summit conference chair and VP of Strategic Solutions at CA Technologies, JP Morgenthal, Director of Cloud Computing Practice at Perficient, Inc., Gordon Haff, Cloud Evangelist at Red Hat; Larry Carvalho, Cloud Expo Tech Chair and Research Manager & Lead Analyst, Platform as a Service at IDC; and John Willis, VP of Customer Enablement for Stateless Networks; discussed how DevOps is changing the way IT works, how businesses interact with customers, and how organizations are buying, building, and delivering software.
Schedule for 15th @CloudExpo, @BigDataExpo and @ThingsExpo
Are you ready to put your data in the cloud?
What is the future of security in the cloud?
Does Docker quickly advance the development of an IoT application?
What are the implications of Moore's Law on Hadoop deployments?
Get all these questions and hundreds more like them answered at the 15th Cloud Expo, November 4-6, 2014, at the Santa Clara Convention Center, in Santa Clara, CA. The Cloud Expo / Big Data Expo / @ThingsExpo / DevOps Summitprograms are now available for you to inspect and investigate in advance.
Our upcoming November 4-6 event in Santa Clara, California will present a total of 10 simultaneous tracks by an all-star faculty, over three days, plus a two-day "Cloud Computing Bootcamp" presented by Janakiram MSV, an Analyst with the Gigaom Research analyst network, where he covers the Cloud Services landscape.
Cloud and Big Data topics and tracks include: Enterprise Cloud Adoption, APM & Cloud Computing | Hot Topics, Cloud APIs & Business, Cloud Security | Mobility, Big Data | Analytics.
@ThingsExpo content tripled from a single track in New York to three simultaneous tracks: Consumer IoT, Enterprise IoT, IoT Developer | WebRTC Convergence.
Schedule for Cloud Expo / Big Data Expo / @ThingsExpo ▸ Here
Now that we have published the full conference schedule, please check back for daily updates as we finalize new session abstracts by working with our distinguished faculty members. For your questions please contact us at events (at) sys-con.com. Last but not least we will announce our keynotes on the hottest subjects to be delivered by world-class speakers!
The largest 'Internet of Things' event in the world has announced "sponsorship opportunities" and "call for papers."
The 1st International Internet of @ThingsExpo was launched this June at the Javits Center in New York City with over 6,000 delegates in attendance. The 2nd International Internet of @ThingsExpo will take place November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, California, with an estimated 7,000 plus delegates attending over three days.
Sponsorship and Exhibit Opportunities for @DevOpsSummit Silicon Valley and New York Are Now Available
Sponsors and exhibitors of Internet of @DevOpsSummit will benefit from unmatched branding, profile building and lead generation opportunities through:
- Featured on-site presentation and ongoing on-demand webcast exposure to a captive audience of industry decision-makers.
- Showcase exhibition during our new extended dedicated expo hours
- Breakout Session Priority scheduling for sponsors that have been guaranteed a 35-minute technical session
- Online advertising in SYS-CON's i-Technology publications
- Capitalize on our comprehensive marketing efforts leading up to the show with print mailings, e-newsletters and extensive online media coverage.
- Unprecedented PR Coverage: Editorial coverage on IoT.sys-con.com, Tweets to our 75,000 plus followers, press releases sent on major wire services to over 500 combined analysts and press members who attended Internet of @ThingsExpo - making it the best-covered "Internet of Things" conference in the world
For more information on sponsorship, exhibit, and keynote opportunities contact Carmen Gonzalez by email at events (at) sys-con.com, or by phone 201 802-3021. Book both events for additional savings!
@DevOpsSummit Silicon Valley (November 4-6, 2014, Santa Clara, CA)
@DevOPsSummit New York (June 9-11, 2015, New York, NY)
Secure Your VIP Pass to Attend @DevOpsSummit Silicon Valley
DevOps Summit at Cloud Expo announced today a limited time free "Expo Plus" registration option. The onsite registration price of $600 will be set to 'free' for delegates who register during special offer period.
To take advantage of this opportunity, attendees can use the coupon code and secure their registration to attend all keynotes and general sessions, as well as a limited number of technical sessions each day of the show, in addition to full access to the expo floor.
The registration page is located here.
@ThingsExpo New York 2015 'Call for Papers' Now Open
The 3rd International Internet of @ThingsExpo, to be held June 9-11, 2015, at the Javits Center in New York City, New York announces that its 'Call for Papers' is now open. The event will feature a world class, all-star faculty with the hottest IoT topics covered in three distinct tracks.
Track 1 - Consumer IoT and Wearables: Smart Appliances, Wearables, Smart Cars, Smartphones 2.0, Smart Travel, Personal Fitness, Health Care, Personalized Marketing, Customized Shopping, Personal Finance, The Digital Divide, Mobile Cash & Markets, Games & the IoT, The Future of Education, Virtual Reality
Track 2 - Enterprise IoT: The Business Case for IoT, Smart Grids, Smart Cities, Smart Transportation, The Smart Home, M2M, Authentication/Security, Wiring the IoT, The Internet of Everything, Digital Transformation of Enterprise IT, Agriculture, Transportation, Manufacturing, Local & State Government, Federal Government
Track 3 - Developer IoT: WebRTC, Eclipse Foundation, Cloud Foundry, Docker & Linux Containers, Node-Red, Open Source Hardware, Leveraging SOA, Multi-Cloud IoT, Evolving Standards, WebSockets, Security & Privacy Protocols, GPS & Proximity Services, Bluetooth/RFID/etc., XMPP, Nest Labs
@ThingsExpo billboard is viewed by more than 1.3 million motorists per week on Highway 101, in the heart of Silicon Valley
Help plant your flag in the fast-expanding business opportunity that is the Internet of Things: Submit your speaking proposal today here!
Download @ThingsExpo Newsletter Today ▸ Here
Chris Matthieu Named @ThingsExpo Tech Chair
Internet of @ThingsExpo named Chris Matthieu tech chair of Internet of @ThingsExpo 2014 Silicon Valley.
Chris Matthieu has two decades of telecom and web experience. He launched his Teleku cloud communications-as-a-service platform at eComm in 2010, which was acquired by Voxeo. Next he built an open source Node.JS PaaS called Nodester, which was acquired by AppFog. His latest startups include Twelephone. Leveraging HTML5 and WebRTC, Twelephone's BHAG (Big Hairy Audacious Goal) is to become the next generation telecom company running in the Web browser. Chris is currently co-founder and CTO of Octoblu.
Website: http://www.ThingsExpo.com
Twitter: http://www.Twitter.com/ThingsExpo
About SYS-CON Media & Events
SYS-CON Media (www.sys-con.com) has since 1994 been connecting technology companies and customers through a comprehensive content stream - featuring over forty focused subject areas, from Cloud Computing to Web Security - interwoven with market-leading full-scale conferences produced by SYS-CON Events. The company's internationally recognized brands include among othersCloud Expo® (CloudComputingExpo.com / @CloudExpo), Big Data Expo (BigDataExpo.net / @BigDataExpo), DevOps Summit (DevOpsSummit.sys-con.com / @DevOpsSummit), Internet of @ThingsExpo (ThingsExpo.com / @ThingsExpo) and Cloud Computing Bootcamp (CloudComputingBootcamp.com).
Cloud Expo®, Big Data Expo® and @ThingsExpo® are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company.
Published October 7, 2014 Reads 4,439
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News Desk compiles and publishes breaking news stories, press releases and latest news articles as they happen.
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named "Gold Sponsor" of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer's customers range from Web startups to global enterprises. Mar. 25, 2017 05:30 AM EDT Reads: 1,317 |
By Elizabeth White Web Real-Time Communication APIs have quickly revolutionized what browsers are capable of. In addition to video and audio streams, we can now bi-directionally send arbitrary data over WebRTC's PeerConnection Data Channels. With the advent of Progressive Web Apps and new hardware APIs such as WebBluetooh and WebUSB, we can finally enable users to stitch together the Internet of Things directly from their browsers while communicating privately and securely in a decentralized way. Mar. 25, 2017 03:00 AM EDT Reads: 5,645 |
By Yeshim Deniz Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor - all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization... Mar. 25, 2017 01:45 AM EDT Reads: 1,419 |
By Yeshim Deniz DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. Mar. 25, 2017 12:15 AM EDT Reads: 1,558 |
By Elizabeth White What sort of WebRTC based applications can we expect to see over the next year and beyond? One way to predict development trends is to see what sorts of applications startups are building. In his session at @ThingsExpo, Arin Sime, founder of WebRTC.ventures, will discuss the current and likely future trends in WebRTC application development based on real requests for custom applications from real customers, as well as other public sources of information, Mar. 25, 2017 12:00 AM EDT Reads: 465 |
By Yeshim Deniz SYS-CON Events announced today that Interoute, owner-operator of one of Europe's largest networks and a global cloud services platform, has been named "Bronze Sponsor" of SYS-CON's 20th Cloud Expo, which will take place on June 6-8, 2017 at the Javits Center in New York, New York. Interoute is the owner-operator of one of Europe's largest networks and a global cloud services platform which encompasses 12 data centers, 14 virtual data centers and 31 colocation centers, with connections to 195 add... Mar. 24, 2017 11:45 PM EDT Reads: 639 |
By Liz McMillan TechTarget storage websites are the best online information resource for news, tips and expert advice for the storage, backup and disaster recovery markets. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget attracts and nurtures communities of technology buyers researching their companies' information technology needs. By understanding these buyers' content consumption behaviors, TechTarget creates the purchase inte... Mar. 24, 2017 10:15 PM EDT Reads: 4,147 |
By Liz McMillan With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, will discuss some of the security challenges of the IoT infrastructure and relate how these aspects impact Smart Living. The material will be delivered i... Mar. 24, 2017 10:00 PM EDT Reads: 1,878 |
By Pat Romanski In his session at @ThingsExpo, Eric Lachapelle, CEO of the Professional Evaluation and Certification Board (PECB), will provide an overview of various initiatives to certifiy the security of connected devices and future trends in ensuring public trust of IoT.
Eric Lachapelle is the Chief Executive Officer of the Professional Evaluation and Certification Board (PECB), an international certification body. His role is to help companies and individuals to achieve professional, accredited and worldw... Mar. 24, 2017 08:15 PM EDT Reads: 316 |
By Elizabeth White Your homes and cars can be automated and self-serviced. Why can't your storage? From simply asking questions to analyze and troubleshoot your infrastructure, to provisioning storage with snapshots, recovery and replication, your wildest sci-fi dream has come true.
In his session at @DevOpsSummit at 20th Cloud Expo, Dan Florea, Director of Product Management at Tintri, will provide a ChatOps demo where you can talk to your storage and manage it from anywhere, through Slack and similar services ... Mar. 24, 2017 06:30 PM EDT Reads: 4,126 |
By Liz McMillan My team embarked on building a data lake for our sales and marketing data to better understand customer journeys. This required building a hybrid data pipeline to connect our cloud CRM with the new Hadoop Data Lake. One challenge is that IT was not in a position to provide support until we proved value and marketing did not have the experience, so we embarked on the journey ourselves within the product marketing team for our line of business within Progress.
In his session at @BigDataExpo, Sum... Mar. 24, 2017 06:30 PM EDT Reads: 2,620 |
By Elizabeth White SYS-CON Events announced today that Ocean9will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Ocean9 provides cloud services for Backup, Disaster Recovery (DRaaS) and instant Innovation, and redefines enterprise infrastructure with its cloud native subscription offerings for mission critical SAP workloads. Mar. 24, 2017 04:45 PM EDT Reads: 1,780 |
By Yeshim Deniz SYS-CON Events announced today that Linux Academy, the foremost online Linux and cloud training platform and community, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Linux Academy was founded on the belief that providing high-quality, in-depth training should be available at an affordable price. Industry leaders in quality training, provided services, and student certification passes, its goal is to c... Mar. 24, 2017 01:15 PM EDT Reads: 3,852 |
By Elizabeth White SYS-CON Events announced today that Telecom Reseller has been named "Media Sponsor" of SYS-CON's 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY.
Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms. Mar. 24, 2017 12:45 PM EDT Reads: 1,872 |
By Elizabeth White SYS-CON Events announced today that Loom Systems will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Founded in 2015, Loom Systems delivers an advanced AI solution to predict and prevent problems in the digital business. Loom stands alone in the industry as an AI analysis platform requiring no prior math knowledge from operators, leveraging the existing staff to succeed in the digital era. With offices in S... Mar. 24, 2017 12:15 PM EDT Reads: 981 |
By Liz McMillan SYS-CON Events announced today that T-Mobile will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on ... Mar. 24, 2017 12:00 PM EDT Reads: 1,906 |
By Liz McMillan SYS-CON Events announced today that Cloudistics, an on-premises cloud computing company, has been named "Bronze Sponsor" of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY.
Cloudistics delivers a complete public cloud experience with composable on-premises infrastructures to medium and large enterprises. Its software-defined technology natively converges network, storage, compute, virtualization, and management into a ... Mar. 24, 2017 12:00 PM EDT Reads: 1,652 |
By Yeshim Deniz SYS-CON Events announced today that CA Technologies has been named "Platinum Sponsor" of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY, and the 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. CA Technologies helps customers succeed in a future where every business – from apparel to energy – is being rewritten by software. From ... Mar. 24, 2017 10:45 AM EDT Reads: 1,437 |
By Liz McMillan SYS-CON Events announced today that Infranics will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Since 2000, Infranics has developed SysMaster Suite, which is required for the stable and efficient management of ICT infrastructure. The ICT management solution developed and provided by Infranics continues to add intelligence to the ICT infrastructure through the IMC (Infra Management Cycle) based on mathemat... Mar. 24, 2017 09:45 AM EDT Reads: 2,747 |
By Elizabeth White Now that the world has connected "things," we need to build these devices as truly intelligent in order to create instantaneous and precise results. This means you have to do as much of the processing at the point of entry as you can: at the edge. The killer use cases for IoT are becoming manifest through AI engines on edge devices. An autonomous car has this dual edge/cloud analytics model, producing precise, real-time results.
In his session at @ThingsExpo, John Crupi, Vice President and Eng... Mar. 24, 2017 08:45 AM EDT Reads: 3,692 |


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About the Firm
Welcome to Chartwell
The Chartwell Approach
The Chartwell Name
Practice Area
Areas of Practice
• Admiralty and Maritime
• Aviation
• Cargo, Trucking and Logistics
• Commercial Litigation
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Chartwell Locations
Boston, MA
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William H. Grae
WILLIAM H. GRAE is a partner at the New York and northern New Jersey office. He received a B.A. in anthropology from Cornell in 1991 and a J.D. from Pace Law School in 1994, graduating as a ranking scholar and Dean's List honoree. While at Pace, Mr. Grae divided his time between the John Jay Legal Services Health Law Clinic, funded through a Root-Tilden-Kern grant, and membership in the Pace...
Jack Gross
JACK GROSS is the managing partner in our New York office. Mr. Gross is a 1980 graduate of Yeshiva University, summa cum laude, where he filled a number of literary positions and received various scholastic recognition awards; and a 1984 graduate of Hofstra University. While in law school, he participated in various moot court competitions and served as a contracts fellow. Prior to joining The Chartwell Law Offices, Mr. Gross...
Abbey R. Lacheen
ABBEY R. LACHEEN is a partner of The Chartwell Law Offices, LLP and serves as the managing partner of the firm's New Jersey practice and Workers' Compensation Coordinator of the firm's Pennsylvania, New Jersey, and New York departments. She is also a member of the firm's Medicare Set-Aside team and is active within the firm's legal education outreach initiatives. Ms. Lacheen devotes her entire practice to workers' compensation defense litigation, providing...
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The Chartwell Law Offices, LLP traveling to New Orleans, LA for the 2015 RIMS Annual Conference & Exhibition
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Calculating Interest: Making the "Compound" "Simple"


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A stay at The Franklin Hotel Chapel Hill - Curio Collection by Hilton places you in the heart of Chapel Hill, walking distance from DSI Comedy Theater and Ackland Art Museum. This hotel is within close proximity of The Artscenter and Memorial Hall.
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Fix custom Wordpress Page
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- Budget $30 - $250 CAD
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Descrizione del Progetto
Our website provides information and a live 'stream' from our radio station. Our developer which is no longer with us created a page to show song title, name of artist currently being played, and time it was played on a page called 'Recently Played. This page showed 24 hours of information.
Our radio station's studio computer puts the song title, artist name and time, into an xml file and placed in a folder on our server. A script then reads the info and places the info on our Recently Played page.
You can see what it looked like when it worked here: [url removed, login to view]://[url removed, login to view]
After moving from our hosting company Mediatemple to Hostgator the page no longer shows that info. See our current page here: [url removed, login to view]
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Only qualified developers will be considered.
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Sad senior lady cries while her husband wipes her tears. Focus on the woman.
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You have to have a sense of humor when the internet has killed you off several times in one year. At least that's the way rocker Jon Bon Jovi is dealing with his latest death hoax that made the rounds Monday afternoon.
"Heaven looks a lot like New Jersey," Bon Jovi wrote on a sign in a photo posted on his Facebook page. If that didn't convince you, his Facebook administrators added another assurance. "Rest assured that Jon is alive and well! This photo was just taken."
Social media ignited with the fake news of Bon Jovi's untimely demise after a Wordpress blog posted an article announcing his death.
"Rockstar [sic] Jon Bon Jovi (John Francis Bongiovi, Jr) was pronounced dead today after paramedics found him in a coma at his Empress Hotel, city and law enforcement of Asbury Park, NJ sources told The Times after his World Christmas Tour concert on The Bamboozle Festival, North Beach Asbury Park," the website "reported."
"The detectives plan to interview relatives, friends and Bon Jovi's doctors to try to figure out what happened. The N.J. County coroner's office will determine a cause of death. A New Jersey fire department source told The Times that Bon Jovi was in full cardiac arrest when rescue units arrived."
Surely, no one would believe that noise, right? No such luck. Several fans posted condolences below the article.
"My prayers go out to Jon's family and friends at this so sad a time. I am shocked beyond belief. Tears of sorrow!!!!!!" Lesley wrote. "He will be sadly missed by all who loved him and his music. Count me as one of them."
It's great that the New Year's Eve star can laugh about the hoax, but let's stop killing off our favorite celebrities for fun, mmmkay?
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The Veteran Beer Company
Founded in 2012, The Veteran Beer Company is dedicated to providing lives of quality for military Veterans through the creation of meaningful post-service careers.
The company produces, sells, and delivers craft beers of superior quality, striving to employ Veterans in every role within the organization. Whenever possible, we use Veteran-owned small businesses in our supply chain and insist that the entire supply chain have a Veteran-first hiring policy.
Our employees—all Veterans of the US military–adhere to the highest principles of military service, conducting business with integrity, courage, and loyalty.
Importantly, 10% percent of everything we make goes to charities that support Veterans causes; the other 90% goes to employ Veterans.
We are currently looking for a Chicago and Indiana Directors as well as Brand Ambassadors in all states we distribute in. Also the Veteran Beer Company is always giving recommendations for hires to companies we partner with in our supply chain. If you are interested in a position with the Veteran Beer Company or our partners and would like to find out more please fill out form below.
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Dwight King talked about his goal in Game 2, in which it looked like he should've been called for goaltender interference. He saw the replay once in the locker room and hasn't watched it since.
"Once the goal stood we moved on from that game," King said. "Obviously with the playoffs, it's a pretty rapid schedule. You do try to move on and focus on the next one."
That was difficult as the Rangers were talking about it seemingly for two days and weren't happy about the no-call there. Asked if he thought there was goaltender interference after the game, Alain Vigneault said: "Ask the NHL."
King wasn't worried about the noise. "Nothing is going to come over it," King said. "Nothing to stress over or think about it. The call was made. Once it stands, it stands. There's nothing to talk about."


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Calvin Harris: 'All hell broke loose after Taylor Swift split'
The DJ hinted at the relationship drama as he accepted a prize at the GQ Men of the Year Awards in London on Tuesday.
Dance music star Calvin Harris found it "very difficult" to deal with his break-up from Taylor Swift because every little detail was covered in the media.
The Scottish DJ and Swift year-long romance crumbled earlier this year (16), and they parted ways in June (16).
The producer tried to keep a low profile after the split, but he admits the heartbreak was made 10 times worse by the global press coverage.
"It's very difficult when something I consider so personal plays out very publicly," he tells British GQ. "The aftermath of the relationship was way more heavily publicised than the relationship itself."
And Calvin insists the stars tried their best to keep their romance as normal as possible: "When we were together, we were very careful for it not to be a media circus. She respected my feelings in that sense."
The GQ interview marks the first time Calvin has directly addressed his split from Swift, which turned nasty over the summer (16), after she rebounded with British actor Tom Hiddleston and then revealed she was the brains behind the DJ's latest Rihanna collaboration, This Is What You Came For.
The Shake It Off singer had initially been credited under her pseudonym, Nils Sjoberg, but the truth was revealed after reports suggested a dispute over the the song had led to the end of Taylor and Calvin's romance.
He subsequently took to Twitter to clear up the claims, acknowledging Taylor's involvement, while also taking aim at her publicists for trying to make him "look bad" for keeping her contributions under wraps - a decision he insisted the singer had made herself.
However, Calvin now regrets using social media to attack his ex.
"It was completely the wrong instinct," he confesses. "I was protecting what I see as my one talent in the world being belittled. It felt like things were piling on top of me, and that was when I snapped. I'm not good at being a celebrity, but when it ended, all hell broke loose. Now I see that Twitter thing as a result of me succumbing to pressure. It took me a minute to realise that none of that matters. I'm a positive guy."
Calvin appears to have since moved on from the Taylor drama after he was photographed walking arm-in-arm with Mexican actress/singer Eiza Gonzalez in Los Angeles on Saturday night (03Sep16).
The news of his rumoured new romance emerged a day before his ex hit headlines again, amid reports suggesting her three-month relationship with Hiddleston is already over.
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Telemarket for me
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Person with a commercial character to carry out a lavor of call center to a database of local travel agencies.
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Customer Service available Mon - Fri 9am to 9pm EST Sat & Sun 1pm to 8pm EST
Elizabeth Wong
Short Play, Dramatic Comedy
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Short Play
Dramatic Comedy
Elizabeth Wong holds an MFA from New York University's Tisch School of the Arts, and she's proud of the recent accomplishments of fellow classmates Neil LaBute, Lamar Damon, Ilkka Jarvilaturi and Jennifer Maisel. Her Off-Broadway award-winning play Letters To A Student Revolutionary, the first play in the country to respond to the Tiananmen Square massacre, was originally produced by Artistic ... view full profile