text:
System and method for browsing hierarchically based node-link structures based on an estimated degree of interest
Method and system to enable a user to view large collections of hierarchically linked information on a computer based display. A tree structure visualization is created which presents a representation of the complete collection of information on the display. The visualization fits completely within a fixed area of the computer based display, negating the need to scroll information into the display area. The visualization is based on identified focus nodes and through calculation of a Degree of Interest (DOI) for each of the nodes based in the structure. Layout and presentation of the visualization structure is based on the DOI values in combination with considerations of available display space. A user may dynamically manipulate views of the structure by selecting one or more focus nodes, thus causing a recalculation of the degree of interest.
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[0001] The present invention relates to the field of information visualization and in particular to the display of representations of linked information based on user interest.
[0002] Many applications of computers to practical problems involve the display of representations of linked information such as hierarchical data. Linked information refers to information that has some logical or organizational relationship. Examples are organization charts, computer programs, Web sites, filing systems, or biological taxonomies. These data structures are often much larger than will conveniently fit on the screen of a computer display monitor so that information can be easily extracted. But finding a way of presenting these structures to users such that (1) they can find elements in the structure quickly and (2) they can understand the relationship of an element to its surrounding context is an important enabler to many uses of such data.
[0003] One example is in the area of linked hierarchical data. Linked hierarchical data is often displayed in a tree structure. Several types of methods have been used to display such tree structures:
[0004] (1) Uniform layout of trees. Trees can be laid out uniformly. The number of nodes at the leaves of all the subtrees is computed and multiplied by an amount of space per node plus spacing between nodes and between subtrees. Then the nodes are scaled so that this fits across the display. This method works for small trees, but any attempt to portray a tree structure of moderate size, say 600 nodes, scaled to the width of a display will have the approximate appearance of a horizontal line, since the width increases exponentially while the height increases only linearly.
[0005] (2) Compressed layout of trees. The space required for the tree can be opportunistically compressed by sliding portions of deeper subtrees underneath shallow subtrees. If the tree has uniform depth, this is of no help. If the depth is non-uniform, more nodes can be accommodated in the same space, but this technique is only a limited improvement and cannot handle very large trees.
[0006] (3) Treemaps. Treemaps are described by Johnson, B. and Shneiderman, B. in the publication entitled "Treemaps: A space-filing approach to the visualization of hierarchical information structures", Proceedings of IEEE Information Visualization '91, 275-282. Treemaps is a technique in which lower subtrees are contained within higher nodes of the tree. A space is divided, say vertically, into a number of sections equal to the number of branches. Each section is then divided horizontally according to the number of branching at the next level down in the tree. The next level is then divided vertically again and so on alternating between vertical and horizontal definition of the space until it is too small to divide. Since creating a tree in this way does not allow any room for the content of nodes, the technique can be modified so that each division has extra space to be devoted to the node contents. This technique stays within predetermined space bounds, but as nodes become smaller and smaller they no longer have room for content (except for maybe a uniform color), the aspect ratios of the nodes vary widely, obscuring simple relationships.
[0007] (4) Techniques of variable manual expansion. Some techniques allow the user to choose which nodes are displayed. In this way, there need not be space for all nodes at the same time and those visible are ones more interesting to the user. One such technique was introduced in by Engelbart, D. C. and English, W. K. , "A Research Center for Augmenting Human Intellect", AFIPS Conference Proceedings of the 1968 Fall Joint Computer Conference, San Francisco, Calif., December 1968, Vol. 33, pp. 395-410 (AUGMENT,3954,). Republished in Computer Supported Cooperative Work: A Book of Readings, Irene Greif [Editor], Morgan Kaufmann Publishers, Inc., San Mateo, Calif., 1988, pp. 81-105. The user indicates the higher and lower level numbers of the tree to be expanded. This technique allows the user to look horizontally across a tree structure. For example, a user might look at all the procedure call and variable declarations in a program, while suppressing the code itself, which resides at lower levels in the tree. The limitation of this technique is that there is no guarantee the tree will all fit on the display in any of these views and the user cannot expand one part of the tree, but not another. So the technique is usually paired with scrolling.
[0008] Another example of such a technique is used in the user interface of the Apple Hierarchical Filing System used on computer systems available from Apple Computer, Inc. of Cupertino Calif. Each level in the tree can be expanded individually by clicking on a small triangle to the left of the level. Thus the user can expand portions of the tree that are to be compared on the screen, while keeping other portions of the tree compressed by eliding nodes below the compressed subtree root. But this technique also needs to be paired with scrolling and considerable manual manipulation must be performed by the user to constantly adjust views.
[0009] (5) Fish-eye Views. Fish-eye views were described by Furnas, G. W. (1981/1999), in the publication "The FISHEYE View: A new look at structured files", reprinted in Card, S. K., Mackinlay, J. D.; and Shneiderman, B. (eds.) (1999), Information Visualization: Using Vision to Think. San Francisco: Morgan-Kaufmann. Fish-eye views describes a class of techniques in which nodes are displayed or elided according to the user's computed degree-of-interest (DOI) in them. The estimated
DOI of a node=Intrinsic Importance+Distance from a focus node.
[0010] The Intrinsic Importance of a node is its distance from the root and the Distance of a node is the number of nodes that must be traversed by following parent and child links from the node of interest until reaching the subject node. All those nodes whose DOI lies below a certain threshold are not displayed. If the user indicates interest in some node, say by selecting it, this calculation is performed and the display elides those nodes below the threshold. In this way, the display of the tree follows the user's changing interest. The problem with this technique is that there is no guarantee the displayed trees will fit in any display bounds, thus wasting useful information space. The technique is especially problematic when there are a large number of sibling nodes in the tree.
[0011] (6) Focus+Context Displays. Focus+context displays are variants of fish-eye views that use various sorts of techniques to devote more space or detail of the display to some areas of interest, compressing other parts of the displayed structure to mainly support the context of the focus elements and showing the user where to select to navigate to a new position in the structure. One example of a focus+context hierarchical structure is cone-trees (see Robertson, G. G., Mackinlay, J. D. and Card, S. K. (1991). Cone trees: Animated 3D visualizations of hierarchical information. Proceedings of CHI '91. ACM Conference on Human Factors in Computing Systems New York, 198-194.). Cone-trees arrange the nodes in a 3-D tree. Selecting a node rotates a branch of the cone-tree, bringing related nodes into the foreground while sending other nodes into the background. This technique uses natural perspective to achieve some of the effect of Furnas's fish-eye views. Furnas' fish-eye view technique can be combined with cone-trees, thus allowing the display of larger trees. Because this is a 3-D display, some of the nodes occlude each other.
[0012] (7) Hyperbolic Trees. In hyperbolic trees the space itself is stretched according to a hyperbolic projection (see Lamping, J. and Rao, R. (1994), "Laying out and visualizing large trees using a hyperbolic space", Proceedings of UIST '94, ACM Symposium on User Interface Software and Technology, 13-14). An implementation of a hyperbolic tree structure visualization is available from InXight Software, Inc. of Santa Clara, Calif.). Selecting a node moves it to the center (or side) of the display. Nodes further out are smaller and closer to each other. The display stays within fixed boundaries. But only a limited number of links out from the focus node can be seen. Moreover, it is more complicated to model complex user's DOI.
[0013] Despite such methods and techniques there remains a need to effectively display and extract useful information from large bodies of linked data.
[0014] The present invention provides for user browsing of large collections of linked information on a computer-based display. A visualization is created which presents a representation of the complete collection of information on the display. The visualization fits completely within a fixed area of the computer-based display, negating the need to scroll information into or out of the display area. The visualization is based on identified focus nodes and through calculation of a Degree of Interest (DOI) for each of the nodes in the structure. Layout and presentation of the visualization structure is based on the DOI values in combination with considerations of available display space. A user may dynamically manipulate views of the structure by selecting one or more focus nodes, thus causing a recalculation of the degree of interest.
[0015] The present invention may be used to display information units comprised of data items that are static, dynamic or a combination of both static and dynamic. An example of information units having static data items would be the nodes in an organization chart. An example of an information unit having dynamic data would be the representation of a web site wherein an information unit represents a web page within the site and includes a dynamic data item representing the number of "hits" that corresponding page is encountering over-some period of time.
[0016] The method of the present invention is generally comprised of the steps of identifying a focus node for plurality of nodes representing a collection of hierarchically linked information; generating a degree of interest value for each of said plurality of nodes, said degree of interest value relative to said focus node and corresponding to a node size; laying out in a tree structure said plurality of nodes positioned based on associated links and sized based on associated degree of interest values; identifying and performing any node compression necessary for displaying said hierarchically linked information based on the layout of said plurality of nodes; and displaying said hierarchically linked information based on said layout of plurality of nodes and node compression.
[0017] FIG. 1 is a flowchart of the basic steps for creating a visualization of a linked structure in the present invention.
[0018] FIG. 2 is an illustration of a DOI tree of uniform structure having the root node as the focus node as may be displayed in the currently preferred embodiment of the present invention.
[0019] FIG. 3 is an illustration of the DOI tree of FIG. 2 with the focus node moved to a second level node, as may be displayed in the currently preferred embodiment of the present invention.
[0020] FIG. 4 is an illustration of the DOI tree of FIG. 2 with the focus moved to a leaf node so that it becomes the new focus node, as may be displayed in the currently preferred embodiment of the present invention.
[0021] FIG. 5 is an illustration of a DOI tree showing various tree compression techniques, as may be utilized and displayed in the currently preferred embodiment of the present invention.
[0022] FIG. 6 is an illustration of various predetermined areas in a display area, as may be utilized to display a DOI tree in the currently preferred embodiment of the present invention.
[0023] FIGS. 7 and 8 are illustrations of the DOI tree of FIG. 2 with and without using the Expand to Fit techniques of the currently preferred embodiment of the present invention.
[0024] FIG. 9 is an illustration of a large organization chart as may be displayed by the currently preferred embodiment of the present invention.
[0025] FIG. 10 is an illustration of a representation of a large database with a leaf node being located as the subject of a search and thus being displayed as a focus node, as may be displayed in the currently preferred embodiment of the present invention.
[0026] FIG. 11 is an illustration of a tree derived from a database with multiple links per node, wherein one node is used to generate the tree structure and other links become visible upon some user action, as may be displayed in the currently preferred embodiment of the present invention.
[0027] FIG. 12 is an illustration of a biblioplex showing multiple generations of linkages from a main document, as may be displayed in the currently preferred embodiment of the present invention.
[0028] FIG. 13 is an illustration of a control panel for controlling the DOI tree visualization of the currently preferred embodiment of the present invention.
[0029] FIG. 14 is a block diagram illustrating the functional software implemented components and data flow as may be used to implement the currently preferred embodiment of the present invention.
[0030] FIG. 15 is a block diagram of a computer-based system as may be utilized to implement the currently preferred embodiment of the present invention.
[0031] The present invention provides an information visualization technique that enables a user to effectively browse through large collections of linked data. When utilizing the present invention a user is able to dynamically manipulate views of large amounts of displayed data so that the information presented is effectively perceived by the viewer. The present invention may be used to display information units comprised of data items that are static, dynamic or a combination of both static and dynamic. An example of information units having static data items would be the nodes in an organization chart. An example of an information unit having dynamic data would be the representation of a web site wherein an information unit represents a web page within the site and includes a dynamic data item representing the number of "hits" that corresponding page is encountering over some period of time.
[0032] The present invention operates on linked information, which can often be represented as a node-link structure. In a node-link representation, each node represents an information unit and the link represents a relationship amongst the different nodes. The underlying data may have some actual linkage (e.g. web pages or other documents containing hypertext links) or some logical linkage (e.g. the nodes comprising an organization chart).
[0033] The present invention has been implemented for operation on computer based systems having a graphical user interface such as those utilizing the Windows® Operating System form Microsoft, Inc. or the Mac OS operating System from Apple Computer, Inc. Such graphical user interfaces have the characteristic that a user may interact with the computer system using a cursor control device and/or via a touch-screen display, rather than solely via keyboard input device. Such systems also have the characteristic that they may have multiple "windows" wherein discrete operating functions or applications may occur. A more complete description of such a computer-based system upon which the present invention may be implemented is provided below.
[0034] Conceptual Framework
[0035] The present invention combines (a) the idea of computing Degree Of Interest (DOI) estimates of users' interest with (b) focus+context techniques for dynamically changing the view as the DOI changes and (c) adjustment of what is displayed based on available display resource (e.g. the viewable area of a computer display, or the size of a "window" on the display).
[0036] The present invention can be thought of as being modular so that the display of information to the user is computed in two parts: (1) an estimation of users' degree-of-interest in each of the nodes and (2) a visualization of the data based on the computed users' interest and the amount of available display resource. A visualization using the present invention may be used to present various visualizations of linked information such as tree structures or collections of hyper-linked documents. The present invention further uses animation to provide for smooth visual transitions to indicate changes of DOI in the displayed structure.
[0037] (1) Estimate of users' degree-of-interest in nodes
[0038] The Degree of Interest (DOI) refers to a value attributed to a particular node with respect to some focus node. The DOI value provides a way of placing a quantitative value on the nodes. The DOI value may be calculated in many different ways, and is often directly related to the manner in which the data to be visualized is captured. For example, real time usage data may be used to calculate a DOI so the DOI value could be based on the usage.
[0039] In the prior art, the DOI of a node in a tree structure is estimated as the Intrinsic Importance plus the Distance from a focus node. The Intrinsic Importance represents the relevancy or importance of a node with respect to a root node and is measured as the number of nodes from the root node to the subject node. The Distance of a node from the focus node is the number of nodes that must be traversed by following parent and child links from the node of interest until reaching the subject node.
[0040] In the present invention, the degree of interest calculation for a tree structure is different from that disclosed in the prior art. In the prior art, all siblings' nodes that are the same distance from the focus node have the same DOI value. The calculation of the present invention treats the children of a parent node as ordered and assigns fractional DOI offsets to the children based on order distance from the focus node. The farther the sibling is from the focus node based on the ordering, the more the fractional decrement in its DOI (but the decrement is always less than 1). Further, the DOI of the children of the siblings is based on the siblings DOI. This allows the visualization element to decide which sibling nodes to compress and how to compress them.
[0041] (2) Visualization
[0042] As noted above, various visualization techniques may be used when implementing the present invention. Initially, each DOI value corresponds to a node size parameter. Typically, this node size parameter may correspond to a largest node size for a particular range of DOI values. Upon generation of the structure in the visualization, the nodes are laid out using the node size parameter along with any structure-based adjustments. These structure-based adjustments facilitate optimal use of the display area in terms of presenting information, as well as providing a smoother visual appearance of the structure. Further visualization compressions of the nodes in the structure may be made based on the available display area. For example, portions of the structure lying in predetermined areas may be aggregated, or certain portions of the structure may be collectively represented by a symbol as a result of their lower DOI values (wherein the size of the symbol may represent the number of nodes being represented). Alternatively, a displayed structure may not completely utilize a display resource, so visualization expansions may occur to more effectively utilize the available display resource.
[0043] Currently Preferred Embodiment
[0044] The currently preferred embodiment of the present invention is implemented to display hierarchically linked data in a tree structure. This is hereinafter referred to as a Degree of Interest (DOI) Tree. The DOI tree can be used to display various types of hierarchical information such as organization charts, file structures, or representations of web sites.
[0045] The following terminology is used to describe a tree structure. A root node refers to the topmost node in the structure and the one in which the rest of the tree structure emanates from. A tree structure will have multiple levels, each level representing a horizontal portion of the structure. The nodes in the tree structure will be connected via links. Nodes will have relationships with other nodes, which are termed parent, child or sibling. A node is a parent node to another node if it is directly linked and is one level above the other node. Similarly, a node is a child node if it is directly linked and is one level below the other node. Sibling nodes are those that lie on the same level and which have the same parent node.
[0046] FIG. 1 is a flowchart that describes the general method of the present invention. First, node information is generated for nodes in the visualization, step 101. This node information is generated using stored data for the nodes. A focus node is then determined, step 102. Upon the first display of the visualization, the focus node may be the "root" node, or it could be based on how display of the structure was requested. During browsing of the structure, the focus node would typically be identified by user selection of a particular node. The DOI for the nodes are then generated, step 103. As described above, the DOI is determined not only by the distance from the focus node, but also based on it's (or it's parent's) order with respect to the focus node. The nodes are then sized and laid out based on their DOI value, step 104. A manner in which nodes are sized is provided below with respect to pseudo code provided in Table 1. The manner in laying out the nodes is based on the visualization structure (e.g. a tree or some other structure). Visualization adjustments are then made to optimize use of the display area, step 105. As noted above, these visualization adjustments may be visualization compressions or visualization expansions. The visualization structure is displayed, step 106. When a new focus node is selected and detected, step 107, the steps repeat starting at step 103 with the new visualization structure preferably being displayed using animation techniques.
[0047] Table 1 provides pseudo-code that describes the manner of processing nodes in the currently preferred embodiment. 1 TABLE 1 Pseudo-Code For Processing Nodes (recursive for all nodes) if focus node (i.e DOI=0), set to large size else if DOI value > −1 and <0 set to large size adjusted by fade value else if DOI value > −2 and <=−1 set to medium size adjusted by fade value else if DOI value > −4 and <=−2 set to small size else elide display of node
[0048] Referring to Table 1, the listed operations are repeated recursively for each node. Generally, the focus node will have the largest possible size, with smaller sizes being assigned based on the DOI value. The numerical values presented in Table 1 are for illustration and are actually parametric thresholds that could vary. Note that the node sizes are assigned based on DOI values falling within a particular range. Use of other values or parametric thresholds would not cause departure from the spirit and scope of the present invention. The option of a fade value is a technique for making small distinctions among nodes that would otherwise be the same size. The fade value is a fractional value used to decrease the size of nodes as they get further away from the focus node. For examples for a hierarchical structure a fade value of 0.10 would decrease the size of the row of nodes above and below the focus row by 10%. The next row above and below that rose would be 20% smaller. This permits more space for the focus node for large trees with many levels.
[0049] It should also be noted from Table 1 that if a DOI value falls below some particular threshold, here <−4, then the node will be elided (i.e. not displayed).
[0050] Calculation of the Degree of Interest
[0051] The basic calculation of the Degree of Interest (DOI) for nodes in using the standard layout follows the following rules:
[0052] 1. The Focus nodes and parent nodes up to the root node are assigned a DOI value of 0.
[0053] 2. Assign a DOI value of −1 plus offset to sibling nodes of nodes having a DOI value of 0.
[0054] 3. For the rest of the nodes, assign a DOI value of one less than their parent node.
[0055] The standard layout is one where there is a single focus node. In an alternative scheme where there may be multiple focus nodes (e.g. nodes found as a result of some search) the rules for assigning the DOI would be as follows:
[0056] 1. Assign a DOI value of −1 to all selected nodes;
[0057] 2. Assign a DOI value of −1 to parents of selected nodes up to root node.
[0058] 3. For the rest of the nodes, assign a DOI value of one less than their parent node.
[0059] With respect to the offset described above, the DOI calculation of the present invention treats the children of a parent node as ordered and assigns fractional DOI offsets to the children based on order distance from the focus node. The farther the sibling is from the focus node based on the ordering, the more the fractional decrement in its DOI (but the decrement is always less than 1).
[0060] Visualization of the DOI Tree
[0061] For the visualization of the DOI tree, there are a small number of possible node sizes for presenting the information associated with the node. For most tree structures, it has been determined that three is a reasonable number of nodes sizes, but utilization of five or some other number of node sizes would not cause departure from the spirit and scope of the present invention. As described above with respect to the general concepts, the particular node size used depends on the DOI of the node. A table may be used to map DOI values into node sizes during the creation of the visualization. The table may contain actual node sizes, or sizing factors for use in drawing each of the nodes.
[0062] FIG. 2 shows the display of a uniform tree of 4 levels, with 4 branches at each level and the focus on root node 201. The root node 201 has been selected for the focus node and automatically has a larger size. To further indicate that it is a focus node, it may be displayed so that it is more visually distinct, e.g. in a different color than the other nodes. Smaller node sizes have been automatically selected for nodes with lower DOI. For example, nodes at level 202, level 203 and level 204 are represented as consecutively smaller. It should also be noted that in FIG. 2, because of display space constraints, the collections of nodes at level 205 (below level 204) are collectively represented as a triangle. In the currently preferred embodiment, the highest DOI is 0, the lower DOIs are negative numbers.
[0063] In FIG. 3, a node 301 of the tree displayed in FIG. 2 has been selected. The node 301 is on the next level down, and selection causes the changing of the DOI calculation for the nodes. When the tree is displayed, node 201 is reduced in size and child nodes 302 below the new focus node 301 in the tree are increased in size, according to the computed DOI's for the nodes. Although not illustrated, preferably the transition proceeds by a smooth animation from one state to another. It has been determined that such animation is desirable in order to keep the user oriented and unconfused about the transition and change in focus nodes.
[0064] Referring to FIG. 4, a user has selected one of the lowest nodes 401 either by selecting directly, or by selecting nearby nodes, causing the focus node 401 to get larger, and be more easily selectable. Note that other nodes have been re-sized based on their DOI value. For example, nodes 402 and 403 have increased in size, while nodes 301 and 201 have decreased in size. Again, this would be presented to a user via an animated transition.
[0065] Node Layout
[0066] The method for layout of nodes is as follows. There is a fixed original size for several incremental sizes of nodes. The tree is laid out at those sizes as if there were infinite space available. If the height of the tree is larger than the height of the window, a scale factor is calculated so that it will fit vertically. The method then determines actual node sizes multiplied by the scale factor and lays out screen positions based on those sizes. When there is not enough space horizontally for the nodes at a certain level, space is allocated for the focus node and for its parents and then to their siblings in order to the right and left of the focus node until a certain percentage of the horizontal space is left. Then the horizontal space for the rest of the nodes and the subtrees below them is compressed uniformly. That is the subtree below each sibling node will be compressed horizontally so that it fits below the sibling node.
[0067] Node Compression
[0068] It has been determined that it is desirable to always display some representation of the complete tree in the available display area. However, the display area for the tree on the display is generally a fixed resource. Accordingly, the tree needs to be constrained in ways to stay within its resource. The basic DOI-based display technique very greatly reduces the pressure on that resource. Even with the technique described so far, it is possible for all the nodes not to be effectively presented on the screen. There are two cases to consider, the tree not fitting in the horizontal direction and the tree not fitting in the vertical direction. The tree not fitting in the horizontal direction is common and occurs either because of a large branching factor below one node or because, since trees increase in width exponentially, there is an accumulation of widths.
[0069] If the number of nodes across is large because of the accumulation of several branches, these are specially handled because the nodes below each box are laid out in the horizontal space available for each box. This pattern is visible in the tree illustrated in FIG. 5. If the branching factor is large, then the nodes are folded as for node groups 501 and 502 illustrated in FIG. 5. Folding refers to a technique wherein a node group is organized so that part of it is moved vertically below another part. If there are elided nodes below a threshold DOI value, then a triangular symbol, which will have a size proportionate to the log of the number of nodes, is used. Such a symbol is triangle 503 as shown in FIG. 5.
[0070] If the number of nodes across the display at any level is large, the available display resource into which the nodes are to be displayed is vertically divided into three regions as illustrated in FIG. 6. Referring to FIG. 6, a regular free layout zone 601, a compression zone 602, and an aggregation zone 603 are displayed. Typically 70% of the screen is in the free layout zone 601, with 20% in the combined compression zones 602, and 10% in combined aggregation zones 603. If necessary, the horizontal layout may be compressed for some of the nodes, for example by overlapping them. This is illustrated by level 504 of FIG. 5. In the currently preferred embodiment, as a cursor control device is moved over these nodes they spring to the front, overlapping their neighbors, thereby allowing the user to peruse them. When the maximum compression is reached, an aggregate representation will be made for the remaining nodes, such that selecting in this region will select that node proportionate to that region. For example, if 100 nodes are in the aggregation region, selecting 30% of the way to the edge of the display would select the 30th node from the inward edge of the region.
[0071] Table 2 contains pseudo code that describes the laying out of a visualization structure where nodes are compressed, in greater detail. 2 TABLE 2 Pseudo Code For Laying Out Visualization Structure Set X (horizontal) and Y (vertical) display screen positions for each node: calcExtents to determine total width necessary to layout chart recursively calculate total width of each level of hierarchy calculate unlimited width position for each node in x direction save maximum width of each subtree and whole tree assign y position of each node (row) setFinalPositions to assign final x positions to the children of current node if sufficient room available or compression factor already set normalLayout - for each child of the current node calculate normal x spacing (adjust by compression) setFinalPositions again for each child of current one else sort child list in order of DOI + localDOI value assign 70% of available x space in sorted list order calculate compression factor for the rest of the subtrees set final x positions of each node setFinalPositions on the children of each node (compressed) determine next appropriate scale factor to fit within current display area setXYs again using new scale factor if scale factor for display has changed adjust old node size values for displayed nodes using new scale factor
[0072] The nodes with the highest DOIs at a level have the largest node size, (for example see node 401 of FIG. 4). This node size establishes the vertical height of a region in which to lay out the immediate descendents of all the nodes at that level. If there are too many descendents horizontally, the descendents are folded into multiple rows. Such folding into multiple rows is a common organization chart convention (with a vertical line joining the rows).
[0073] The localDOI value refers to the value at each level of the tree that determines priorities for horizontal space at that level only. This value could also be used for minor variations in the size of sibling nodes at one level.
[0074] The use of DOI to do selective node expansion (as described below) and the use of folding rows greatly increases the size of a tree that can be horizontally laid out. Further, the use of compression and aggregation zones permits all trees to be fit within a fixed display space. It can also happen that a tree would be too deep vertically to fit within its space. In this case, nodes are either elided lower in the tree or in the middle, depending on the DOI. The term elide or elided is taken to mean that the nodes are not displayed and not that the node or its underlying data is deleted. First, a threshold DOI is established so if the nodes for a tree are less than the threshold DOI, then they are elided and replaced by an elision graphic. Since nodes decrease in elliptical importance with distance from the root and in distance importance with distance from the focus node(s), then a very deep tree would tend to show some nodes around the root and some nodes around the focus node, typically causing some of the intermediate nodes to be elided. However, the currently preferred embodiment provides for creation of the elision graphic above a node at a certain distance above the focus node. The elision graphic would represent nodes elided including the root node. The width of the symbol is proportional to the log of the number of nodes represented. The number of levels above the focus to display may be controlled by a variable specified by the user.
[0075] When the DOI is lower for the lower part of the tree, as happens for subtrees being fit within a node height or which would hit the bottom of the display area, the lower part of the tree is replaced by an appropriately proportioned elision graphic, e.g. a triangle whose width is proportional to the log of the tree width and whose height is proportional to the tree depth.
[0076] Node Expansion
[0077] It can be that as in FIG. 2, the use of the techniques described so far may leave unused space in the display area. Therefore, the present invention provides for a user to expand part of the tree into this unused space. Unused space commonly results from an upper limit on node size which causes the tree to take up less vertical space than is available in a typical window. It has been determined that enlarging to fit vertically would cause the nodes to become unusually large and appear to be distorted. Further, it would limit horizontal space, which it has been found to be more crowded.
[0078] Node expansion occurs when there is still vertical space available on the display. Expansion occurs on the "most interesting node". The number of levels below the focus node to expand automatically can be controlled by the user. A practical limit has been found to be three or four levels. The limit is necessary to prevent a very deep tree from scaling so that all of the nodes become too small. Node expansion at each level will occur on the "most interesting node".
[0079] Table 3 provides pseudo code describing such node expansion: 3 TABLE 3 Pseudo Code For Node Expansion Find current node to be expanded find most interesting child of current node for each child of current node set localDOI to lower value as move away from most interesting one decrement node fade value if this is most interesting node, expandDescendants of this node else markDescendants as above with lower DOI and fade values
[0080] The tree is automatically expanded below the focus node by choosing the node in the level below with the most descendants. The next level below that node is expanded in the same way until the entire depth of the tree is shown or the user-specified number of levels is reached. This is done whenever the user chooses a new node to focus on which shows the expansion of the branch of the tree with the current node. The nodes selected at each level to expand form a "spine" of nodes that are represented in the large size about twice as large as their medium sized sibling nodes. This allows room for the display of the tree structure below the siblings using the smallest size nodes. Because the size of the nodes in the spine of this expansion are nearly the same, a "fade" value is used to make all of the nodes smaller at each level away from the current focus. This prevents the automatic scaling from making all of the nodes too small for very deep trees. The nodes close to the focus are thus always displayed in a relatively large size.
[0081] There are several ways for determining or otherwise identifying the "most interesting node" to expand. This can be an automated process or one based on user input. Some examples are: (1) This could be the node with the highest DOI on a level, or (2) it could be a node identified based on user supplied search terms.
[0082] FIGS. 7 and 8 illustrate the tree of FIG. 2 expanded according to the subtree with the most nodes. Referring to FIG. 7, the tree does not take up the entire display area, as illustrated by the unused area 701. Referring to FIG. 8, the node 801 and descendants comprise the subtree with the highest number of subnodes. At the level 802, the node 801 and its subtree has been expanded. This continues so at level 804, the node 803 and its subtree is expanded and at level 806 the node 805 and its subtree is expanded. As illustrated, the node expansion continues until the bottom nodes or "leaves" of the tree are reached.
[0083] It should be noted that node expansion is a slight departure from the basic general concept described above. However, node expansion has been found to be very useful in that it often provides insights into search levels beyond what would normally be provided (as many as 6 levels). This could dramatically decrease search times for particular information.
[0084] Data Item Information Display
[0085] Each node typically has a number of data items to be displayed. For example, for an organization chart, the data items to be displayed could include fields such as Post, Post it reports to, Name, Title, Office extension, Email, Picture file link, Home page link, etc. The larger the number of data items to be displayed, a bigger display surface area for a node is needed. For the focus node, the majority of the information may be displayed.
[0086] As discussed above, nodes will typically be of different sizes. As nodes get smaller, there is less room to display this information. Information displayed on the nodes is ranked by priority and as the nodes have less space the items with the higher priority are displayed. The present invention provides several techniques to allow the information to fit on a node:
[0087] 1. Data deletion. Smaller nodes only display some of the data items.
[0088] 2. Word abbreviation. Words and phrases are abbreviated if there is not room on the line where they are displayed. Different text abbreviation rules are applied according to the type of information (Names, phone numbers, email addresses). A substitution table is also read from a file to substitute abbreviations for common words when needed. For example, Vice President becomes V.P.
[0089] 3. Node rotation. The normal view of nodes shows them as 3D boxes (illustrated in FIG. 10). Using a gesture such as dragging the cursor left or right on a box makes the boxes appear to rotate such that another face of the boxes is now in the front. This allows more data items to be presented. Software based programming techniques for performing such node rotation to present different information is well known in the art.
[0090] It should also be noted that all or some of these techniques could be utilized. Alternatively, another window could be displayed alongside the structure to display all of the information.
[0091] Animation of Tree Transitions
[0092] User orientation in the tree is preserved by making the views of the tree animate into each other. The animation time is set at a desirable level, usually in the range of (0.7˜1.0 sec) (see Card, S. K., Moran, T. P. and Newell, A., The Psychology of Human Computer Interaction, Hillsdale, J. M: Erlbaum (1983)). The average draw time per frame for recent frames is used to set the number of animation frames that can be drawn in this time. This is used to calculate the in-between positions of the boxes.
[0093] A tree transition is calculated based on a begin state and an end state of the tree. Generation of an end state is initiated, for example by a user selecting a new focus node.
[0094] Applications
[0095] The present invention has been applied in providing an interactive browser of node-link structures. The invention could be applied in a variety of contexts in which node-link structures are visualized. In particular, the invention could be applied in visualizing web-related structures such as the structure formed by a cached set of web pages or other web objects.
[0096] More generally, the invention could be applied to provide a browser for organization charts, file system hierarchies, hypertext hierarchies, world wide web connectivity structures, parts breakdowns, SGML structures, or any other large node-link structures. The browser could be used in editing structures or their contents.
[0097] Items in the tree can be linked to arbitrary Uniform Resource Locator (URL) pages or to programs, such as an email program. Hence, the tree can act as a browser to initiate display of web data. The tree as a browser operates more quickly than a conventional web browser, because a group of the pages can be viewed on the screen together and their relationship with other pages shown.
[0098] Described below are possible applications.
[0099] (1) Organization Chart. One use of this is for organization charts in which the nodes serve as links to supporting data as in FIG. 9. This chart has over 400 nodes, is accessible over the Web, and combined all the information contained in 12 separate organization charts (each of which filled a page). By searching for a name or by browsing the chart, the details of the individual organizations is revealed. Furthermore, the chart serves as a gateway into the organizational home pages of the different organizations (accessed by clicking the appropriate link within the node). It also can be used to access email to any of the individuals whose email is given on the chart by simply clicking the link.
[0100] (2) Web Sites. Another use is for views of Web sites, which have been coerced or otherwise reduced into tree form. Thumbnail miniatures of pages can be displayed in the nodes. Full size displays of the pages can be displayed alongside the tree using a suitable web browsing application.
[0101] (3) Web site statistics. The DOI of individual pages in a web site can be set to a function of the number of hits that page has received in some predetermined interval of time such as the previous month or week or hour or other time period. Or some function representing a way of weighting period of access could be employed (for example, weighting hits as a declining exponential of days before present). Thus, site sponsors can watch the activity of their web sites. The weighting period could even be reduced to minutes so that sponsors could watch the immediate activity on their sites.
[0102] (4) Databases. Data bases that are expressible by trees can be displayed and searched. For example, the 7000 node taxonomic database used for competitive tests by ACM/SIGCHI is shown in FIG. 10. This competition is described in the publication Mullet, K., Fry, C., Schiano, D., "On Your Marks, Get Set, Browse!" in Human Factors in Computing Systems, CHI '97 (Extended Abstracts) 1997, Atlanta Ga. ACM. In this competitive test, contestants present visualizations of the database which are then searched to find particular data items. By following the higher level groupings, the user has found the node 1001 entitled "Ebola Virus". An advantage of using the DOI Tree for searching is the entire tree is always visible which helps the user maintain the context of individual nodes. Also related relevant nodes are always given more space in the standard layout while the user is browsing the tree. The automatic expansion below the focus node can help understand the branch of the tree that contains the new focus.
[0103] (5) Multilinked databases. The nodes can be items in a database as in FIG. 11. The items in the database are coerced or otherwise converted into a tree structure. However, the items in the database have multiple links to other items in the database. One set or class of links is used to create the tree structure. Typically, this class of links will be indicative of some relationship between those items. In this application, additional links to other items may be displayed when a predetermined user action is performed, e.g. a user moving a cursor over any item. This is illustrated by the links 1102 on item 1101.
[0104] In another way of presenting a general graph with multiple links, multiple instances of a node may be presented in the structure. This may be based on a particular manner of creating the structure from the database. In this case, the displayed links may point to other instances of the node. Such duplicated nodes may be displayed so that they are visually distinct from other nodes (e.g. by different color, shape etc.).
[0105] By using these techniques, complex structures that would be difficult to plot as generalized graphs are plotted as trees, but the other linkages can still be investigated. In the case where some of the nodes are aggregated together with a triangle under a node the line is drawn to the triangle.
[0106] (4) Bibliographies. A biblioplex as described in co-pending U.S. application Ser. No. 09/488,563 filed Jan. 21, 2000, is a set of documents described generated by traversing successive generations of citations as in FIG. 12. This can be displayed as a DOI tree. The DOI for individual nodes can be computed through spreading activation among the linkages (see U.S. Pat. No. 5,895,470) or through cocitation analysis (see U.S. Pat. No. 6,038,574).
[0107] (5) Email streams visualization. Email streams can be represented as trees. The DOI for these streams could be generated based on the content similarity and tree closeness.
[0108] Control Panel
[0109] FIG. 3 illustrates a control panel 1301 that may be presented to a user and used to provide visualization preferences, as well as to specify a search term (field 1302). In the currently preferred embodiment of the present invention, there can be more than one focus node. Typically, this would occur when some type of search is performed against the data in the items of the visualization structure.
[0110] Referring back to FIG. 13, the various other controls include fields and checkboxes for specifying parameters for the visualization and command buttons for causing specific commands to be carried out. Field 1303 provides for specifying the size of the display area, field 1304 provides for specifying the number of child nodes to be displayed before folding, field 1305 specifies an image to be used for the "box" representing a node, field 1306 is used to specify the color of the box, field 1307 is used to specify a transition time for animation purposes, field 1308 is used to specify the "fade" value for determining the final DOI value used when rendering a node, field 1309 is used to specify a maximum DOI value before elision, field 1310 is used to specify a background image for the visualization, field 1311 is used to specify the color for lines and text, field 1312 is used to enable the specification of a new root node, checkbox 1313 is used to specify that node expansion should occur, checkbox 1314 is used to specify that photos can be displayed, checkbox 1316 is used to specify that the DOI value for the nodes should be displayed, checkbox 1315 is used to specify that selected nodes should be suppressed, checkbox 1317 is used to specify that non-selected nodes are to be suppressed, checkbox 1318 is used to Allow a Query, checkbox 1319 is used to specify suppression of Low Medium nodes, checkbox 1320 is used to turn sound on or off, checkbox 1321 is to enable the user assignment of DOI values.
[0111] Button 1322 is for traversing forward through the tree based on prior commands, Button 1323 is for traversing backward through the tree based on prior commands, button 1324 is for displaying all the nodes that had been previously selected, button 1325 is for clearing the memory of previously selected nodes, button 1326 is for causing selection of all the nodes, button 1327 is for resetting any memory of previously entered commands, button 1328 is for causing the tree to be redrawn, button 1329 is for causing the tree to be drawn with larger blocks, button 1330 is for causing the tree to be drawn with smaller boxes, button 1331 is for causing the tree to be drawn with wider boxes, button 1332 is for causing the tree to be drawn with narrower boxes, button 1333 is for causing the tree to be drawn with taller boxes, button 1334 is for causing the tree to be drawn with shorter boxes, button 1335 is for causing the current focus node to be the root node, button 1336 is for causing a visualization of a subtree based on the current focus node to be displayed, and button 1337 is for causing selected nodes to be deleted.
[0112] An alternative implementation would provide for certain frequently used control functions to be presented on a tool bar positioned within the window or display area. Use of toolbars is well known in the art of user interfaces for computer based systems.
[0113] Software System Configuration.
[0114] FIG. 14 is a block diagram illustrating the functional components and data flow of the currently preferred embodiment of the present invention. Referring to FIG. 14, the DOITreeApp 1405 is the main program. It can either be implemented as a Java program or can be an applet. An applet is a piece of software code that is typically intended for execution in a Web Browser. As mentioned above, the currently preferred embodiment of the present invention is implemented using the Java® programming language for operation on a Java® enabled web browser. Thus, the currently preferred embodiment is implemented as an applet. The DOITreeApplet interface 1410 defines an interface for other commonly used and publicly available applet functions that are used to implement the DOITree system such as playAudioClip, showDocument, getlmage, etc.
[0115] DOITreeApp 1405 starts DOITree 1406 providing it with a DOITreeModel 1407. The DOITree Model 1407 defines the data to be used for creating the tree. The model contains a set of DOITreeNodes 1408 in a hierarchical structure. The data for each node is read from a data file 1401 using a utility such as loadData 1404 that uses ReadSpreadsheet 1402 ReadDS 1403 or other input routines depending on the format of the data. The manner in which the data file 1401 is created is described in greater detail below. ReadSpreadsheet 1402 uses an input format where the data for each node is on a line in a text file and fields of data are tab delimited. This is a format that can be produced by commercially available spreadsheet or database software.
[0116] Once DOITree 1406 is started, it receives input from the user via mouse or keyboard controls. DOITree 1406 determines the layout, size and position of nodes in the tree displays. DOITree 1406 calls DOITreeCellRenderer 1409 to draw each node on the display 1411 and also connecting lines, images and other text or graphics on the display 1411.
[0117] In the currently preferred embodiment, the software is organized in such a way that the main layout program element and renderer (DOITree 1406 and DOITreeCellRenderer 1409) can be imbedded into other software and treated as a viewer for tree data. Programming in the Java environment would be well known to one of skill in the art and thus no further discussion or description of the programming techniques used to implement the currently preferred embodiment is deemed necessary.
[0118] As noted above, the underlying data is stored in data file 1401. In the currently preferred embodiment, this data represents the basic structure used to display the visualization. Such data can be static or generated dynamically in whole or in part. The data for DOI Trees can be stored in and derived from a database or it can also be read from tab-delimited files. Users can thus prepare and edit trees for DOI Tree display by using a spreadsheet application, such as Microsoft Excel®, and saving the entered data as a tab-delimited file. In a tab-delimited file, the tabs will indicate a separation of data items and node information.
[0119] It should also be noted that the tree may be built interactively, so that nodes may be dynamically added or removed from the tree structure. Also, such a tree structure may be built interactively by extracting information from a database responsive to user inquiries.
[0120] Overview of Computer Based System
[0121] A computer based system on which the currently preferred embodiment of the present invention may be implemented is described with reference to FIG. 15. The currently preferred embodiment of the present invention has been implemented on computer based systems using the Windows® Operating System and the Internet Explorer® Browser Application (both Trademarks of Microsoft Corporation of Redmond, Wash.). As noted above, the present invention is implemented using software programming instructions written in the Java® programming language for execution on a computer based system. Java is a trademark of Sun Microsystems of Mountain View, Calif. Thus, it is anticipated that the currently preferred embodiment of the present invention may operate on any computer based system supporting a Graphical User Interface and the Java Operating environment. In any event, referring to FIG. 15, the computer based system is comprised of a plurality of components coupled via a bus 1501. The bus 1501 may consist of a plurality of parallel buses (e.g. address, data and status buses) as well as a hierarchy of buses (e.g. a processor bus, a local bus and an I/O bus). In any event, the computer system is further comprised of a processor 1502 for executing instructions provided via bus 1501 from Internal memory 1503 (note that the Internal memory 1503 is typically a combination of Random Access and Read Only Memories). Instructions for performing such operations are retrieved from Internal memory 1503. Such operations that would be performed by the processor 1502 would include the processing steps described in the flowchart of FIG. 1 and the accompanying descriptions. The operations would typically be provided in the form of coded instructions in a suitable programming language using well-known programming techniques. The processor 1502 and Internal memory 1503 may be discrete components or a single integrated device such as an Application Specification Integrated Circuit (ASIC) chip.
[0122] Also coupled to the bus 1501 are a keyboard 1504 for entering alphanumeric input, external storage 1505 for storing data, a cursor control device 1006 for manipulating a cursor, a display 1507 for displaying visual output and a network connection 1508. The keyboard 1504 would typically be a standard QWERTY keyboard but may also be telephone like keypad. The external storage 1505 may be fixed or removable magnetic or optical disk drive. The cursor control device 1506, e.g. a mouse or trackball, will typically have a button or switch associated with it to which the performance of certain functions can be programmed. The display 1507 may comprise one or more physical display monitors. The network connection 1508 provides means for attaching to a network, e.g. a Local Area Network (LAN) card or modem card with appropriate software. Besides communication access, the network connection 1508 may be used to access various resources (i.e. servers) such as shared computing, storage or printing resources.
[0123] The invention has been described in relation to software implementations, but the invention might be implemented with specialized hardware built to operate in a systems architecture as described above.
[0124] Although the invention has been described in relation to various implementations, together with modifications, variations, and extensions thereof, other implementations, modifications, variations, and extensions are within the scope of the invention. The invention is therefore not limited by the description contained herein or by the drawings, but only by the claims.
1. A method for displaying hierarchically linked information, said hierarchically linked information comprised of a plurality of nodes each having one or more links to other of said plurality of nodes, said method comprising the steps of:
- a) identifying a focus node for said plurality of nodes;
- b) generating a degree of interest (DOI) value for each of said plurality of nodes, said degree of interest value relative to said focus node and corresponding to a node size;
- c) laying out said plurality of nodes positioned based on associated links and sized based on associated degree of interest values in a tree structure;
- d) identifying and performing any node compression necessary for displaying said hierarchically linked information based on the layout of said plurality of inodes; and.
- e) displaying said hierarchically linked information based on said layout of plurality of nodes and node compression on a display area.
2. The method as recited in claim 1 further comprising the step of:
- f) detecting that a user has selected a second focus node;
- g) generating a second degree of interest value for each of said plurality of nodes relative to said second focus node;
- h) repeating steps c)-e) using said second degree of interest value for each of said plurality of nodes.
3. The method as recited in claim 1 wherein said step of generating a degree of interest (DOI) value for each of said nodes is further comprised of the steps of:
- b1) assigning a DOI value of 0 to focus node and parents up to root of tree;
- b2) assigning a DOI value of 0 to most interesting child node at user defined number of levels below focus node;
- b3) assigning a DOI value of −1 to siblings of nodes with value 0; and
- b4) assigning a DOI value of one less than parent for all the rest of the nodes.
4. The method as recited in claim 1 wherein said step of generating a degree of interest (DOI) value for each of said nodes is further comprised of the steps of:
- b1) assigning a DOI value of −1 to all selected nodes;
- b2) assigning a DOI value of −1 to parents of selected nodes up to root of tree; and
- b3) assigning a DOI value of one less than parent for all the rest of the nodes.
5. The method as recited in claim 1 wherein said step of laying out said plurality of nodes positioned based on associated links and sized based on associated degree of interest values in a tree structure is further comprised of the steps of
- c1) determining if said structure will fit vertically into said display area;
- c2) if said layout does not fit into said display area, reducing node spacing and/or sizes proportionally until node-link structure fits in said display area.
6. The method as recited in claim 1 wherein said step of identifying and performing any node compression necessary for displaying said linked information based on the layout of said plurality of nodes is further comprised of the steps of:
- d1) determining from said layout that said nodes will not fit horizontally into said display area; and
- d2) causing nodes at the edges of the display area to be overlapped.
7. The method as recited in claim 1 wherein said step of identifying and performing any node compression necessary for displaying said linked information based on the layout of said plurality of nodes is further comprised of the step of:
- d1) determining from said layout that said nodes will not fit horizontally into said display area because certain levels are too wide; and
- d2) causing sibling nodes at wide levels to be folded into multiple rows in the display area.
8. The method as recited in claim 1 wherein said step of identifying and performing any node compression necessary for displaying said linked information based on the layout of said plurality of nodes is further comprised of the step of:
- d1) determining from said layout that said nodes will not fit vertically into said display area;
- d2) identifying subtrees in said layout causing said layout not to fit in said display area;
- d3) causing said subtrees to be displayed in a manner proportionate to the size of the subtree.
9. The method as recited in claim 1 wherein prior to step e) performing the steps of:
- determining that there is unused display area for said structure;
- identifying most interesting nodes for utilizing said unused display area; and
- generating new degree of interest values for said identified most interesting nodes and their linked decedent nodes.
10. The method as recited in claim 1 wherein said step of displaying said linked information is further comprised of the step of displaying a first set of data items associated with said nodes.
11. The method as recited in claim 10 further comprising the step of:
- detecting that a user has requested that a second set of data items associated with said nodes be displayed; and
- displaying said second set of data items associated with said nodes.
12. The method as recited in claim 11 wherein said nodes are displayed to appear as three-dimensional objects having a plurality of display surfaces and said step of displaying said second set of data items associated with said nodes is comprised of the step of animating movement of said node to display a second surface of said node having said second set of data items.
13. System for browsing a collection of hierarchically linked data comprising:
- display means having a display area for presenting views of a visualization of said collection of hierarchically linked data;
- input device for providing input to change view of said visualization of said collection of linked data; and
- visualization processing element coupled to said display means and said input device, said visualization for creating a tree structure visualization of said collection of hierarchically linked data based on a Degree of Interest and a size of said display area.
14. The systems as recited in claim 13 wherein said visualization processing element is further comprised of:
- a Degree of Interest (DOI) calculation element;
- a node layout element; and
- a node compression element.
15. The systems as recited in claim 14 wherein said visualization processing element is further comprised of a node expansion element.
16. A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for displaying hierarchically linked information, said hierarchically linked information comprised of a plurality of nodes each having one or more links to other of said plurality of nodes, said method comprising the steps of:
- a) identifying a focus node for said plurality of nodes;
- b) generating a degree of interest (DOI) value for each of said plurality of nodes, said degree of interest value relative to said focus node and corresponding to a node size;
- c) laying out said plurality of nodes positioned based on associated links and sized based on associated degree of interest values in a tree structure;
- d) identifying and performing any node compression necessary for displaying said hierarchically linked information based on the layout of said plurality of nodes; and
- e) displaying said hierarchically linked information based on said layout of plurality of nodes and node compression on a display area.
Patent History
Type: Application
Filed: Dec 21, 2000
Publication Date: May 8, 2003
Patent Grant number: 6944830
Applicant: Xerox Corporation
Inventors: Stuart K. Card (Los Altos Hills, CA), David A. Nation (Hanover, MD)
Application Number: 09747634
International Classification: G06F003/14; G06F013/00; G09G005/00;


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During finals week, most students would agree that their stress level increases, while the number of hours they spend sleeping decreases. This might sound like old news, but did you know that stress and sleep directly affect your overall health and wellness?
Increased stress can lead to decreased sleep, and both can lead to lower academic performance, more illness, weight gain, and increased mental health issues. One way to decrease stress and improve sleep is to incorporate relaxation into your daily routine. Research shows that practicing relaxation techniques may result in recovery from fatigue, better sleep quality, and an increased sense of control and efficacy in stressful situations. Relaxing includes taking a walk in the park, deep breathing exercises, meditation, or yoga. Try the free yoga classes at the Student Health Center from 4-5pm on Wednesdays and Thursdays all fall semester and through finals week.
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Interested in learning more about sleep? Health Promotion and Wellness offers free one-on-one wellness services to students. Topics include stress and time management, sleep, physical activity, nutrition, healthy relationships and sexual health, and financial wellness. HealthWorks peer educators provide the services. These services are FREE and are in the Wellness Suite, 020 IM Building. To schedule an appointment call 814-863-0461.

subset: commoncrawl


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In 1974, a little bit-identified band from the Topeka, Kansas space signed with Kirshner Records and recorded their debut, self-titled album, Kansas. As I've written in my earlier tutorial, Making Your MIDI Strings Even More Realistic" , every time potential you must record some reside devices that will give the production more timbre and colour. The place a solo part is known as for in a string section, the section leader invariably plays that part.
This is a short checklist of my finest works for orchestra and orchestra with choir. Group orchestras usually consist primarily of grownup beginner musicians. The same strategies apply here, only that I've used devices like piano, marimba, synths. Of ninety orchestral works sampled for the period 1968-1978, two-thirds were composed on fee and most of those by means of the assistance of the Canada Council.
In some instances, college orchestras are open to all college students from a university, from all programs. B. The devices performed by such a group. In some cases, university or conservatory music college students might also be members of group orchestras. Orchestral devices are divided into four families: strings, woodwinds, brass and percussion.
Orchestral Music. The Romantics threw off the …Continue reading


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Day 315: This is Where I Leave You
"It's hard to see people from your past when your present is so cataclysmically screwed up."
Dysfunction is in. It's hip to be dysfunctional again, and it seems as if every film that deals with family these days more or less traffics in dysfunction. It's not interesting to deal with perfection as far as character dynamics go within a family, but lately it's been a pissing match to see who can present the most messed up family of them all, as if John Waters' Pink Flamingos has come to startling life. And so it is with the new film This is Where I Leave You, which features a cast of ace comedic talent and a script from Jonathan Tropper based on his book. The biggest question mark of all was director Shawn Levy, whose stock in trade is middle of the road fare like Night at the Museum and Date Night. Could he rise to the heights presented to him by another stellar ensemble, or would he fail them as he's failed so many great casts in the past? Read on to find out...
Judd Altman (Jason Bateman) is having a terrible run of bad luck. When the film opens, he discovers that his wife (Abigail Spencer) has been sleeping with his misogynistic radio show boss (Dax Shepard) for over a year, and to top it all off his father dies. When the Altman clan assembles for his funeral, their mother (Jane Fonda) tells them that their atheist father's dying wish was for his family to sit shiva for him, a Jewish tradition where a family mourns together for a full week. Judd's sister Wendy (Tina Fey) is the only one who knows about Judd's marital strife, but is dealing with her own distant husband (Aaron Lazar) and two small children, one of whom is taking potty training to new extremes. The oldest brother Paul (Corey Stoll) is knee deep in trying to get his wife (Kathryn Hahn) pregnant, and the youngest brother Phillip (Adam Driver) has just sprung his newest, and much older girlfriend (Connie Britton) on the family.
As the week wears on, long simmering tensions between them all are brought to the surface. Judd rekindles his relationship with an old flame (Rose Byrne) just as his wife reappears to share some shocking news with him, and the family begins to suspect that their mother is not being upfront with them about certain developments that have occurred in the last years of their father's life. But through it all, blood is thicker than water, lessons will be learned, tears will be shed, laughs will be had, etc. etc. etc.
The most immediate issue with This is Where I Leave You is that it seems perfectly content to not break any new ground. There's not a beat in the entire film that hasn't been done better elsewhere. Trying to condense a sprawling, multi-character book into a 103 minute film is always a challenge, and the film feels like it's trying to keep as much in as possible, at the expense of not really developing more than a handful of the characters. It becomes tedious at times, particularly in the bloated third act, and considering how far ahead every development is projected, it feels like a long slog toward a foregone conclusion. By unleashing a torrent of plot twists, seemingly one for every character in the film, it begins to feel like the writer and director are doing everything they can to maintain the audience's interest.
The real sin is that they didn't have to do any of that. With a cast this amazing, they could have simply let them loose and allow them to make up for the shortcomings behind the camera. Instead, one begins to feel for a cast given very little to work with, doing their best to not let the flop sweat show. The film does have some terrific moments, and watching comedic geniuses like Bateman and Fey go toe to toe with stellar actors like Fonda and Stoll is worth the price of admission alone, but one can't help but wish that they were given just a little bit more to work with.
The actors are more or less done in by their underdeveloped characters, and the lack of closure with virtually every character except Bateman's weakens the whole enterprise. Bateman is terrific, as to be expected, and his chemistry with Fey is the real highlight of the movie. Stoll does the best he can with the weakest of the main characters, and Byrne is sadly saddled with a more mature version of the ubiquitous manic pixie dream girl. Driver is perhaps the biggest revelation among the cast, showing that he works incredibly well in ensembles pieces, and always managing to land truthful moments with both humor and gravity. The rest of the cast is fantastic as well, adding up to one of the best ensembles in recent memory.
The main fault of the film is the direction. Levy is just not a capable director, and his insistence on constantly hammering in visual metaphors where they're not needed undermines the brilliant work of his cast. That's his m.o. however, casting very capable actors and then leaving them to fend themselves while he stages some hackneyed, first year film student set-up underscored with alt rock. It's a real shame because a better director would have really brought this film to life, and could have probably avoided some of the more rote aspects of the screenplay.
Overall, This is Where I Leave You rings of truth while still feeling wholly dishonest. It's incredibly well acted, and the script has some moments of verbal pizzazz, but it feels like a ground rule double when it could have been a home run with just a little more effort. It will land with a variety of audience members, most of whom can relate to the dysfunction on display, but it's simultaneously weighed down by contrivance and well-worn tropes. It's basically a funnier version of August: Osage County, and if that sounds appealing to you, then by all means, enjoy. The rest of us will just sit here quietly, hoping that someday soon, dysfunction will be presented not for dysfunction's sake, but because it's grounded in a universal truth about all of us.
GO Rating: 3/5
[Photos via BoxOfficeMojo]


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Huddersfield Town have confirmed a permanent deal has been agreed with Mainz for the transfer of goalkeeper Jonas Lossl.
The 29-year-old has kept eight clean sheets in the Premier League since joining on a season-long loan in June.
Lossl, named in the Denmark squad for upcoming internationals against Panama and Chile, will complete a permanent move at the end of the campaign.
"The fact that Jonas will join the club permanently in the summer is excellent news for Huddersfield Town, following on from the boost that Florent Hadergjonaj will also become a full-time Terrier last week," Huddersfield head coach David Wagner said.
"We knew that Jonas had big quality when he joined us on loan and that has certainly proven to be the case.
"The quality of his distribution has been perfect for the way we play, but he's also made big, big saves at important moments. I also think we've seen him improve as the season has gone on.
"He's been a huge part of our season so far, on and off the pitch, and I'm sure he'll continue to be as we aim to retain our status in the Premier League."
David Wagner: "We are delighted to make @JonasLoessl 's loan into a permanent; this was something we always had in our head. He's really helped us be where we are at the minute." #htafc (SE) pic.twitter.com/AQ3oi3iVAt
— Huddersfield Town (@htafcdotcom) March 16, 2018
The Terriers are 15th in the Premier League with eight games to go, Wagner's men sitting four points clear of the relegation zone.
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USSSA Advantages
How to Sanction Your Team
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For more information or questions, simply e-mail.
Nebraska USSSA Basketball would like to welcome you to our new Basketball State Website. We will do our best to explain USSSA Basketball to you and to answer any questions you may have. Information will be added as we move forward. When we add documents you will see on the left side of the homepage will be a Main Menu section, a forms (pdf's) section and links to other USSSA Basketball related websites. In the Main Menu section is a place for you to Sign Up. (It's free) You will develop a user id and password, then when you log in you will be able to see other teams in your age group. It also allows you to add you're team's scores to the revolving ticker on the right. The middle section of the home page will be for News that is current to our State. The right side will show upcoming sanctioned tournaments for our State, will have a revolving ticker for scores. All will make even more sense as things are added to the sections.
Our first Nebraska Basketball Qualifier. The Crossover Basketball Tournament at the Bellevue Lied Center. Here are the results:
Boys: 5th 6th 7th & 8th Navy 7th & 8thth Red
Girls: 5th 6th 6th & 7th 7th 8th
Congratulations to our first tournament winners and runner ups.


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Forgotten Christmas: God For Us, Not Against Us/
Immanuel, God with us, a name which represents the character and mission of God in Jesus. He knows fully well the pain to come and the wickedness of fallen humanity. And yet he enters this messiness as a tiny infant for our sake.


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Runoff is a part of the water cycle. In this activity you will see how runoff creates streams and how these streams are organized into watersheds.
Instructional Method: Demonstration
Goal: To show how water flows on the surface as part of the Hydrologic Cycle.
Objectives: Students will be able to:
Setup: 15 minutes
Materials Needed:
Runoff results when precipitation flows over Earth's surface. Gravity causes water to flow downhill. When water accumulates on the surface, it is funneled into streams and rivers which usually end up in an ocean.
Different rivers flow into different oceans. This is because rivers that aren't connected to each other belong to different watersheds. A watershed is defined as a river valley or group of adjoining river valleys where all of the water flows in a single direction to a single point of output. Watersheds have an overall shape like that of a deciduous tree. Streams represent twigs, and rivers represent branches. Like the branches of a tree, all these smaller rivers, called tributaries, join together forming the central trunk or main river.
Mountains, ridges, or other high points form divides which separate one watershed from another. In North America the continental divide separates the watersheds (ex. Columbia and Colorado rivers) that flow into the Pacific Ocean from the watersheds (ex. Missouri and Arkansas rivers ) the flow into the Atlantic. The continental divide is the highest continuous line and does not necessarily include the highest peaks. Rain that falls on the west side of this divide flows to the Pacific. Rain that falls on the east side flows into the Atlantic.
Hydrologists measure the magnitude of watersheds in terms of "order" by adding up tributary segments when they meet at a confluence. You start at the top or headwaters of the watershed and make your way down the main trunk to the bottom or foot of the watershed. A single order river consists of one tributary. A second order stream is created where two first order tributaries come together. A third order stream is made up of two second order streams... and so on and so on. Only the confluence of rivers of equal order bump the combined river up to the next order of magnitude. Therefore the confluence of a 2nd order and a 3rd order tributary does not change the magnitude of the combined river; it would stay a 3rd order.
First order watersheds may be only a few miles long with an area of less than 10 square miles. 7th order watersheds can be thousands of miles long and encompass millions of square miles. All but the largest watersheds like the Mississippi river system exceed a 7th order magnitude.
Instructional Procedures:
Why does water flow down hill? Where does it end up eventually? From where does it come? Do you have any rivers near you? Where do they start? What order are they as they pass near your town? Where do they end? What order is the river when it reaches its final destination?
As a homework assignment, assign students a short research paper (and/or an in- class presentation) on a particular watershed. Have the students describe the location and environment of the watershed headwaters and the bottom of the watershed and where various stages of the water cycle would be occurring. Using a non-detailed map like one found in a road atlas, have them calculate order of magnitude. NOTE: you might wish to assign an interesting river or two like the Humbolt river in Nevada which never reaches the sea.
Included National Parks and other sites:
Big South Fork National River and Recreation area
Confluence of the Missouri and Mississippi
Utah Science Core:
1st Grade Standard 5 Objective 1,2
GEODETECTIVE Home - Hydrology Home - Hydrology Discovery Chest
Contact our Education Outreach Specialist here.
Last updated: February 24, 2015


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Some of my past words: Reach (2014), ? (2015), Simplify (2016), Strength (2017).
Continuing with a tradition started with Sheila over @ Book Journey, I am selecting a new word for 2018, a word to reflect on throughout next year. This year my word is Joy! While considering this for my word, I began to see it a lot. It is the holiday season, so it's no wonder. I was definitely feeling hints of this word last year too. I thought I would hang onto this thought throughout 2018!
Going through family medical issues for over a year and having successful outcomes, I feel we have a lot to be joyful for. I will call on this feeling throughout the new year. Being joyful, also brings on feelings of being grateful to the powers that be.
I appreciate all my friends who follow my posts. I wish you much joy this holiday season and much joy throughout the new year.
Definition of joy (From Merriam-Webster)
1a : the emotion evoked by well-being, success, or good fortune or by the prospect of possessing what one desires : delightb : the expression or exhibition of such emotion : gaiety
2: a state of happiness or felicity : bliss
3: a source or cause of delight
What's your word for 2018?


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City of Darebin was looking for a way to promote their road safety awareness campaign. The artwork items provided in response to the brief, tie in the slogan "Drive With Your Heart". The colourful and engaging design communicates an effective and friendly message to the community.
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Vyacheslav Moiseev firstname.lastname@example.com
The paper asserts that every ontology presupposes a basic structure, Ontological Tetrade, which consists of source of predications ("modus"), different predications of the source ("modas"), restricted conditions, under which the predications are formed ("models"), and operation of forming of the predications ("projector"). V.Soloviov used projective intuition of Ontological Tetrade comparing predications with projections of the body. It seems, St.Lesniewski also used a similar intuition in a non explicit form. A new axiomatic system, Projectively Modal Ontology (PMO), is offered in the paper. I accept here almost all the logical means of the language of St.Lesniewski's "Ontology". Namely I accept Prothotetics without any changes, syntax of expressions of different categorial types, rules of inference with the exeption of Rule of Extensionality. Prothotetical definitions will be used without any changes. Forms of Ontological definitions will be discussed below. Instead of Lesniewski's functor I shall use a 4-placed predicate Mod of the categorial type (N,N,N,(N,N)/N)/S. Expression Mod(a,b,c,f) is read as "a is moda of modus b under the model c with projector f". Some theorems of PMO are presented with proofs. Some extensions of the primary version of PMO are considered, in particular, a Boolean Algebra on moduses, similar to Mereology of Lesniewski, is investigated. Proof of inconsistency of PMO relatively Prothotetics is considered also.
The paper is devoted to the description of one axiomatical system, which can be called as ^ (PMO). This system has two main foundations: 1) one important philosophical concept from the philosophy of Vladimir Soloviov, and 2) logical form similar to logical form of St.Lesniewski' Ontology.
Breafly speaking
PMO = Soloviov ' Content + Lesniewski' Form
Therefore, I shall say some words about Soloviov approach first of all. Further I shall explain some logical ideas of PMO.
Soloviov philosophy is a sort of Platonism. There exists a Highest Being ("Unity") and there exist infinite set of principles, which are different aspects of Unity. Together Unity and its aspects form All-Unity (therefore the title of Soloviov philosophy is also "Russian Philosophy of All-Unity"). This is the case of an ierarchial Ontology with maximum and minimum (non-being) elements.
Let us see a typical part of the ierarchy: one more ontologically strong principle (S) and, for example, two its aspects (A1 and A2) – see fig.1.
Soloviov used a projective intuition here, he interpreted aspects A1 and A2 as "projections" of the principal S (see also my book1).
To clear this idea let us see an example of geometrical projections. For example, we have a 3-dimensional body B and two 2-dimensional projections P1 and P2 (see fig.2).
Every projection Pi is made in the framework of a plane: P1 in plane 1, P2 in plane 2. We can speak that every projection is the body B under the condition of the plane of projectivity, i.e.,
Pi is B-under-the-condition-i
"Under the condition" is a functor, which can be called as projector. Finally we obtain
Pi = Bi , where is projector
This structure can be generalised and we might to write in general case
Ai = SCi , where
S is a synthesis
Ai is an aspect of S
Ci is a restricted condition under which Ai is formed
is projector, operation of forming of aspects from synthesis and restricted conditions
I shall call these four principles, syntesis, aspect, condition and projector, as ^ .
One of my basic assumptions is as follows: any Ontology presupposes an Ontological Tetrade in a definite form. I shall use special terms for all elements of Ontological Tetrade: "modus" for synthesis, "moda" for aspect, "model" for restricted condition and "projector" for projector (see fig.3).
Modus is a principle of variety, space of possibilities
Model is a principle of restriction of variety
Moda is an element of variety, one of the possibilities
Projector is an act of restriction (transformation) of variety to an element
One need to notice that the term "model" is used not in a trivial sense here. I wanted to use one Latin root "mod": mod-us, mod-el, mod-a. Therefore I shall use the term "modal" in the ancient sense of this word expressing an idea of any variation, mod-ification. To differ this sense from the contemporary using of the term "modal" in different modal logics I add word "projectively" to the word "modal".
I think Ontological Tetrade is a very old philosophical structure. We can find it in Plato, in East Philosophy, etc. For example the following realisations of Ontological Tetrade in some philosophical systems can be demonstrated here
|Projectively modal ontology
|Subject Ontology
|Curriculum vitae moiseyev Vyacheslav Ivanovich, Doctor of Philosophical Science, PhD
1. /ontology.rtf
|Subject Ontology. Subject Ontologies are in opposition to so called Object Ontologies
1. /01-Atlantida (1996)/01-Tri hita (Orkestrovaya overtyura).rtf
2. /01-Atlantida...
1. /01-Atlantida (1996)/01-Tri hita (Orkestrovaya overtyura).rtf
2. /01-Atlantida...


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Got Questions? Start here
Do you do maternity sessions?
Yes! I have packages which include maternity and newborn sessions.
What do we need for our newborn session?
Just yourselves and your newborn. I come to you so you don't need to worry about travelling, and we shoot documentary style within your home and nursery. Pets and siblings are welcome to join us too if you'd like! Our newborn sessions are more about capturing moments and connections and less about posed, Anne Geddes style photos.
How long will our newborn session take?
Generally these sessions take an hour, keeping in mind that newborns often need feeds, changes and cuddles.
When is the best time to have our newborn session?
Within the first two weeks while bub is still quite sleepy is a good time to photograph, but really any time is fine. Keep in mind that babies grow and change quite quickly so if you want to capture the newborn phase, its best booked in fairly early on.
How will I receive my photos?
All packages include a private online gallery which can be shared with family and friends, as well as a USB your individually edited, high resolution images for large prints and low resolution images for web use.
What do we wear?
Mainly, I think you should wear whatever you feel good in! I'd suggest staying away from anything with logos or bold prints as they can sometimes distort in pictures. Neutrals are often a good choice as they won't clash.


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The Chilliwack Symphony Orchestra and Chorus (CSO) is a non-profit society, incorporated in August 1999. The late Maestro John van Liempt and Paula DeWit, founded the CSO. It was created to offer Chilliwack music lovers their own first class symphony orchestra and chorus.
The CSO is Chilliwack's finest and most prestigious cultural and music asset. To hear the world's finest music masterpieces played by musicians and sung by singers from the Fraser Valley is an exhilarating and profound experience. Concerts leave patrons singing and humming our music on their way home.
The CSO is the hub for musical artistic life in Chilliwack. The orchestra and chorus, in addition to formal concerts, also perform at our annual fund raising gala, The Note-able Feast. Members of the CSO also perform as small ensembles at various functions.
The Chilliwack Symphony Orchestra and Chorus designs its performances to meet the musical tastes of Chilliwack and surrounding communities. Our concerts will include a variety of musical genres, such as Classical, Light Classical, Popular, Broadway and Jazz. The Chilliwack Symphony Orchestra and Chorus frequently consists of a 40-piece orchestra, 75-member chorus, 12 voice a cappella group, as well as a 20 voice ladies show choir.
We gratefully acknowledge our sponsors for their generous support: