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：

BIO-INSPIRED COMPUTING AND COMMUNICATION | 2008年 / 5151卷

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

页码：116 / 132

页数：17