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Wireless Epidemic Spread in Dynamic Human Networks
Citation key YHC-WESDHN-08
Author Yoneki, Eiko and Hui, Pan and Crowcroft, Jon
Title of Book Bio-Inspired Computing and Communication – Proceedings of the First Workshop on Bio-Inspired Design of Networks (BIOWIRE '07)
Pages 116-132
Year 2008
ISBN 978-3-540-92190-5
ISSN 0302-9743
Online ISSN 1611-3349
DOI http://dx.doi.org/10.1007/978-3-540-92191-2_11
Location Cambridge, UK
Address Berlin / Heidelberg, Germany
Volume 5151
Month April
Publisher Springer
Series Lecture Notes in Computer Science (LNCS)
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.
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