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
收藏
页码:116 / 132
页数:17
相关论文
共 35 条
  • [1] Statistical mechanics of complex networks
    Albert, R
    Barabási, AL
    [J]. REVIEWS OF MODERN PHYSICS, 2002, 74 (01) : 47 - 97
  • [2] [Anonymous], 2004, ACM MOBIHOC
  • [3] CHAINTREAU A, 2006, P INFOCOM APR
  • [4] Daly E, 2007, MOBIHOC'07: PROCEEDINGS OF THE EIGHTH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING, P32
  • [5] DANON L, 2005, COMP COMMUNITY STRUC
  • [6] *DARTM COLL, 2007, COMM RES ARCH WIR DA
  • [7] DIOT C, 2008, HAGGLE PROJECT
  • [8] Reality mining: sensing complex social systems
    Eagle, Nathan
    Pentland, Alex
    [J]. PERSONAL AND UBIQUITOUS COMPUTING, 2006, 10 (04) : 255 - 268
  • [9] ERDOS P, 1959, MATHEMATICAE, V5
  • [10] Fall K, 2003, ACM SIGCOMM COMP COM, V33, P27