Connectivity and inference problems for temporal networks
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Impact of Human Mobility on Opportunistic Forwarding Algorithms
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Bubble rap: social-based forwarding in delay tolerant networks
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The structure of information pathways in a social communication network
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On the strength of weak ties in mobile social networks
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MobiClique: middleware for mobile social networking
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Characterising temporal distance and reachability in mobile and online social networks
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Exploiting social interactions in mobile systems
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Globs in the primordial soup: the emergence of connected crowds in mobile wireless networks
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
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Epidemic content dissemination in opportunistic social networks (OSN) has been analyzed in depth, theoretically and empirically. Most related works have studied the pairwise contact history among nodes in conference or campus environments. We claim that given the nature of these networks, this approach leads to a biased understanding of the content dissemination process. We design a methodology to break OSN traces down into 'temporal communities', i.e., groups of people who meet periodically during an experiment. We show that these communities correlate with people's social communities. As in previous works, we observe that efficient content dissemination is mostly due to high contact rate nodes. However, we show that high contact rate nodes that are more frequently involved in temporal communities contribute less to the dissemination process, leading us to conjecture that social communities tend to limit dissemination in OSNs.