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Activity of nodes reshapes the critical threshold of spreading dynamics in complex networks

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  • Liu, Chen
  • Zhou, Li-xin
  • Fan, Chong-jun
  • Huo, Liang-an
  • Tian, Zhan-wei

Abstract

In this paper, we investigate spreading dynamics on complex networks with active nodes based on SIR (Susceptible–Infected–Removed) model. Different from previous studies, each node of the network rotates between active state and inactive state according to certain probabilities. An active susceptible node can be infected by all its infected neighbors, while an inactive susceptible node can only be infected by its active infected neighbors. By means of ​mean-field approach and numerical simulations, we explore the critical phenomenon by the combined effects of activity rate and infection rate on spreading dynamics. We show that the critical threshold of infection rate is increased by node activity, and node activity also shows a critical phenomenon given certain infection rate. On the whole, there exists a critical curve consists of pairs of critical activity rate and infection rate. We also analyze theoretically the impact of activity rate and infection rate on the final size of spreading dynamics, which is verified by numerical simulations. This work complements our understanding of spreading dynamics with active nodes and may be used to develop more feasible and more economical methods to control spreading dynamics.

Suggested Citation

  • Liu, Chen & Zhou, Li-xin & Fan, Chong-jun & Huo, Liang-an & Tian, Zhan-wei, 2015. "Activity of nodes reshapes the critical threshold of spreading dynamics in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 269-278.
  • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:269-278
    DOI: 10.1016/j.physa.2015.03.054
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    References listed on IDEAS

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    Cited by:

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    8. Fan, Chong-jun & Jin, Yang & Huo, Liang-an & Liu, Chen & Yang, Yun-peng & Wang, Ya-qiong, 2016. "Effect of individual behavior on the interplay between awareness and disease spreading in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 523-530.
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    11. Zhou, Li-xin & Lin, Jie & Wang, Yu-qing & Li, Yan-feng & Miao, Run-sheng, 2018. "Critical phenomena of spreading dynamics on complex networks with diverse activity of nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 439-447.

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