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Do-it-yourself LocalWireless Networks: A Multidimensional Network Analysis of Mobile Node Social Aspects

The emerging paradigm of Do-it-yourself (DIY) networking is increasingly taking the attention of research 
 
community on DTNs, opportunistic networks and social networks since it allows the creation of local humandriven 
 
wireless networks outside the public Internet. Even when Internet is available, DIY networks may form 
 
an interesting alternative option for communication encouraging face-to-face interactions and more ambitious 
 
objectives such as e-participation and e-democracy. The aim of this paper is to analyze a set of mobility 
 
traces describing both local wireless interactions and online friendships in different networking environments 
 
in order to explore a fundamental aspect of these social-driven networks: node centrality. Since node centrality 
 
plays an important role in message forwarding, we propose a multi-layer network approach to the analysis of 
 
online and offline node centrality in DIY networks. Analyzing egocentric and sociocentric node centrality on 
 
the social network detected through wireless encounters and on the corresponding Facebook social network 
 
for 6 different real-world traces, we show that online and offline degree centralities are significantly correlated 
 
on most datasets. On the contrary, betweenness, closeness and eigenvector centralities show medium-low 
 
correlation values.