Wireless Epidemic Spread in Dynamic Human Networks

  • Authors:
  • Eiko Yoneki;Pan Hui;Jon Crowcroft

  • Affiliations:
  • University of Cambridge Computer Laboratory, Cambridge, United Kingdom CB3 0FD;University of Cambridge Computer Laboratory, Cambridge, United Kingdom CB3 0FD;University of Cambridge Computer Laboratory, Cambridge, United Kingdom CB3 0FD

  • Venue:
  • Bio-Inspired Computing and Communication
  • Year:
  • 2008

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Abstract

The emergence of Delay Tolerant Networks (DTNs) has culminated in a new generation of wireless networking. New communication paradigms, which use dynamic interconnectedness as people encounter each other opportunistically, lead towards a world where digital traffic flows more easily. We focus on human-to-human communication in environments that exhibit the characteristics of social networks. This paper describes our study of information flow during epidemic spread in such dynamic human networks, a topic which shares many issues with network-based epidemiology. We explore hub nodes extracted from real world connectivity traces and show their influence on the epidemic to demonstrate the characteristics of information propagation.