Abstract：Since many real networks generally have community structures and characteristics of small world, we propose a dynamical small-world network model with strength-tunable community, which can describe the phenomena of local contacts and moving contacts in real life. Then we construct a SIR transmission model on the proposed network on the basis of mean-field theory. Simulations and analysis show that, with the increase of inter-community long range jump probabilities, the epidemic threshold will decrease. And the larger the community strength is, the larger the epidemic threshold will be. Namely, large community degree can reduce the spreading of the virus. Additionally, in order to suppress the epidemic spreading, it is effective to strengthen the control of inter-community long range jump.
李婵婵, 蒋国平, 宋玉蓉. 动态小世界社团网络上的病毒传播研究[J]. 复杂系统与复杂性科学, 2014, 11(3): 33-39.
LI Chanchan, JIANG Guoping, SONG Yurong. Epidemic Spreading in Dynamic Small-World Networks with Community Structure[J]. Complex Systems and Complexity Science, 2014, 11(3): 33-39.
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