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Exploitation of Social Behavior Patterns of Mobile Users

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Sociological concepts Centrality: social importance of a user to facilitate communication Community: user groups based on their social links Social links among users – PowerPoint PPT presentation

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Title: Exploitation of Social Behavior Patterns of Mobile Users


1
Social-Aware Data Dissemination in Opportunistic
Mobile NetworksWei 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
  • Military scenarios
  • Data dissemination carry-and-forward
  • Network uncertainty probabilistic contact
    prediction
  • Network quality limited network information
  • Network subjectivity interests of mobile users
  • Exploitation of Social Behavior Patterns of
    Mobile Users
  • 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 TON12, TMC12, ICNP10,
MobiHoc09
  • 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 ICDCS12, INFOCOM11
  • 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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