Statistical Analysis of Contact Patterns between Human-Carried Mobile Devices
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In this paper, we focus on analyzing the impact of human-to-human contact patterns on opportunistic communication in Pocket Switched Networks (PSNs). We take advantage of statistical methods to consider the distributions of two different types of inter-contact time as well as the number of contacts between human-carried mobile devices. Different from the results from recent studies, we present empirical evidence that power law with exponential cutoff characterizes all three distributions of interest better than other possible long-tail distributions. We further show that each of the investigated distributions has a finite mean value. Having a finite mean value is of importance for each distribution, as it facilitates the design of distributed community detection algorithms as well as social-based forwarding algorithms. Finally, we make the recommendation to exploit the average number of contacts as a threshold for each device to determine their friend-set, which is a precondition for some distributed community detection algorithms.
KeywordsStatistical Analysis Contact Pattern Pocket Switched Networks
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