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Dynamical behaviors of epidemics on scale-free networks with community structure

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  • Sun, H.J.
  • Gao, Z.Y.

Abstract

In this paper, we investigate in detail the epidemic spreading process in scale-free networks with community structure. In such a network, nodes tend to form sparsely linked local communities, each having dense internal connections. Different spreading rates in SIR model are adopted to describe the epidemic behavior of nodes in inner and inter communities, which makes the model more practical. In addition, in our model, we assume that if a node is infected in one community, its neighbors will move to other communities with probability p, which can decrease the epidemic size of the whole network without changing network structure. It is found in the simulation that the network without community structure is more robust than the ones with community structure.

Suggested Citation

  • Sun, H.J. & Gao, Z.Y., 2007. "Dynamical behaviors of epidemics on scale-free networks with community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 491-496.
    • Handle: RePEc:eee:phsmap:v:381:y:2007:i:c:p:491-496
    DOI: 10.1016/j.physa.2007.03.030
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    Cited by:

    1. Shang, Jiaxing & Liu, Lianchen & Li, Xin & Xie, Feng & Wu, Cheng, 2015. "Epidemic spreading on complex networks with overlapping and non-overlapping community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 171-182.
    2. Han, Dun & Sun, Mei & Li, Dandan, 2015. "Epidemic process on activity-driven modular networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 354-362.
    3. Pedro Noguera-Méndez & María Semitiel-García, 2011. "The Embeddedness of the Agro-Food System in the Spanish Interindustrial Structure," International Regional Science Review, , vol. 34(1), pages 34-74, January.
    4. Ehsan Ardjmand & William A. Young II & Najat E. Almasarwah, 2021. "Detecting Community Structures Within Complex Networks Using a Discrete Unconscious Search Algorithm," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(2), pages 15-32, April.

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