Wireless Epidemic Spread in Dynamic Human Networks

被引:0
|
作者
Yoneki, Eiko [1 ]
Hui, Pan [1 ]
Crowcroft, Jon [1 ]
机构
[1] Univ Cambridge, Comp Lab, Cambridge CB3 0FD, England
来源
关键词
Time Dependent Networks; Connectivity Modelling and Analysis; Network Measurement; Delay Tolerant Networks; Social Networks;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:116 / 132
页数:17
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