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For mobile delay-tolerant networks, different mobility models have been utilized to assess the performance of routing algorithms and applications. Substantial work has gone into understanding the contact characteristics of mobile users to allow evaluation under conditions that approximate the real world. One important finding has been recognizing that contacts humans make at a macroscopic level is derived from daily routines and social interactions so that analyzing social network structures can assist in determining, e.g., suitable peers for message forwarding. While mid-to long-term social interaction patterns assist in delivering messages at larger scales, such patterns become immaterial when considering a microscopic scale such as content sharing in a city square.
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