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In opportunistic ad-hoc networks, multi-hop data transfer over contemporaneous paths is unlikely since the devices are often disconnected from each other. However, data can still be stored and forwarded over time in an opportunistic hop-by-hop manner. Previous work has considered how the availability of various types of information such as social relationships can be used to guide forwarding algorithm to make better decisions and bring messages closer to the destination. This implicitly assumes that opportunistic contacts relate with the social property of node. However, the impact of such correlation between social and contact properties on social forwarding performances remains largely unexplored. In this paper, the authors argue that the relevance of such social information (social inputs) is as important as designing a new social forwarding algorithms.
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