Paper Info
Title
SIS model of epidemic spreading on dynamical networks with community
Abstract
We present a new epidemic Susceptible-Infected-Susceptible (SIS) model to investigate the spreading behavior on networks with dynamical topology and community structure. Individuals in themodel are mobile agentswho are allowed to perform the inter-community (i.e., long-range) motion with the probability p. The mean-field theory is utilized to derive the critical threshold (λ C ) of epidemic spreading inside separate communities and the influence of the long-range motion on the epidemic spreading. The results indicate that λ C is only related with the population density within the community, and the long-range motion will make the original disease-free community become the endemic state. Large-scale numerical simulations also demonstrate the theoretical approximations based on our new epidemic model. The current model and analysis will help us to further understand the propagation behavior of real epidemics taking place on social networks.
Year
DOI
Venue
2009
10.1007/s11704-009-0057-8
Frontiers of Computer Science in China
Keywords
DocType
Volume
Susceptible-Infected-Susceptible (SIS) model,disease propagation,complex network,dynamical topology,community behavior
Journal
3
Issue
ISSN
Citations 
3
16737466
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Chengyi Xia114920.94
Shiwen Sun2606.52
Feng Rao300.34
Junqing Sun4839105.70
Jinsong Wang5239.79
Zeng-Qiang Chen655072.38