Authors:
Annalisa Socievole
and
Salvatore Marano
Affiliation:
University of Calabria, Italy
Keyword(s):
Opportunistic Networks, Multi-layer Social Network, Mobility Trace Analytics, Wireless Encounters, Facebook.
Related
Ontology
Subjects/Areas/Topics:
Data Communication Networking
;
Next-Generation Communication Networks
;
Telecommunications
;
Ubiquitous Communication Networks
Abstract:
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 det
ected 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.
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