%0 Book Section %1 Yoneki2008Wireless %A Yoneki, Eiko %A Hui, Pan %A Crowcroft, Jon %A Yoneki, Eiko %A Hui, Pan %A Crowcroft, Jon %B Bio-Inspired Computing and Communication %C Berlin, Heidelberg %D 2008 %E Liò, Pietro %E Yoneki, Eiko %E Crowcroft, Jon %E Verma, Dinesh %E Liò, Pietro %E Yoneki, Eiko %E Crowcroft, Jon %E Verma, Dinesh C. %I Springer Berlin / Heidelberg %J Bio-Inspired Computing and Communication %K networks social-networks temporal-networks epidemics human-mobility delay-tolerant-networks %P 116--132 %R 10.1007/978-3-540-92191-2\_11 %T Wireless Epidemic Spread in Dynamic Human Networks Bio-Inspired Computing and Communication %U http://dx.doi.org/10.1007/978-3-540-92191-2\_11 %V 5151 %X 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. %& 11 %@ 978-3-540-92190-5

@incollection{Yoneki2008Wireless, 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.}}, added-at = {2019-06-10T14:53:09.000+0200}, address = {Berlin, Heidelberg}, author = {Yoneki, Eiko and Hui, Pan and Crowcroft, Jon and Yoneki, Eiko and Hui, Pan and Crowcroft, Jon}, biburl = {https://www.bibsonomy.org/bibtex/2b1a4bd9aebe1835745ed308303d311de/nonancourt}, booktitle = {Bio-Inspired Computing and Communication}, chapter = 11, citeulike-article-id = {3888394}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1485171}, citeulike-linkout-1 = {http://dx.doi.org/10.1007/978-3-540-92191-2\_11}, citeulike-linkout-2 = {http://www.springerlink.com/content/q1123434100228lm}, doi = {10.1007/978-3-540-92191-2\_11}, editor = {Li\`{o}, Pietro and Yoneki, Eiko and Crowcroft, Jon and Verma, Dinesh and Li\`{o}, Pietro and Yoneki, Eiko and Crowcroft, Jon and Verma, Dinesh C.}, interhash = {9b031451fa6139da11ef749657206ecf}, intrahash = {b1a4bd9aebe1835745ed308303d311de}, isbn = {978-3-540-92190-5}, issn = {0302-9743}, journal = {Bio-Inspired Computing and Communication}, keywords = {networks social-networks temporal-networks epidemics human-mobility delay-tolerant-networks}, pages = {116--132}, posted-at = {2009-01-21 16:35:48}, priority = {2}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2019-08-01T16:17:12.000+0200}, title = {{Wireless Epidemic Spread in Dynamic Human Networks Bio-Inspired Computing and Communication}}, url = {http://dx.doi.org/10.1007/978-3-540-92191-2\_11}, volume = 5151, year = 2008 }