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Social-Aware Data Dissemination in Opportunistic Mobile Networks Wei Gao and Guohong Cao

Introduction & Motivation. Opportunistic Mobile Networks Mobile platforms: smartphone, vehicle, sensor Inter-connection based on opportunistic contact Communication range of WiFi/Bluetooth radio Applications: mobile cyber-physical systems Remote sensing Disaster/emergency recovery

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Social-Aware Data Dissemination in Opportunistic Mobile Networks Wei Gao and Guohong Cao

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  1. Introduction & Motivation • Opportunistic Mobile Networks • Mobile platforms: smartphone, vehicle, sensor • Inter-connection based on opportunistic contact • Communication range of WiFi/Bluetooth radio • Applications: mobile cyber-physical systems • Remote sensing • Disaster/emergency recovery • Military scenarios • Data dissemination: carry-and-forward • Network uncertainty: probabilistic contact prediction • Network quality: limited network information • Network subjectivity: interests of mobile users Social-Aware Data Dissemination in Opportunistic Mobile NetworksWei Gao and Guohong Cao • Sociological concepts • Centrality: social importance of a user • to facilitate communication • Community: user groups based on • their social links • Social links among users • Online social network: explicit personal acquaintances • Mobile users: implicitly exhibited by their contact process • Similarity of social context: time/location Social Contact Patterns [TON’12, TMC’12, ICNP’10, MobiHoc’09] Exploitation of Social Behavior Patterns of Mobile Users • Goal • Infer social links from users’ • contact process • Problem • unicast, multicast • Probabilistic contact prediction • Estimating pairwise contact • probability • Model: pairwise contact patterns • Cumulative patterns: Poisson process • Transient patterns: On/off periods • Solution: centrality metric Number of nodes Pairwise contact probability Social Interest Patterns [ICDCS’12, INFOCOM’11] • Goal • Disseminating data only to users • being interested in the data • Problem • data diffusion, cooperative caching • Estimating users’ interests in data • Solution: interest-aware centrality metric • Model • Probabilistic user interest

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