Literature DB >> 23005834

Susceptible-infected-susceptible model: a comparison of N-intertwined and heterogeneous mean-field approximations.

Cong Li1, Ruud van de Bovenkamp, Piet Van Mieghem.   

Abstract

We introduce the ε-susceptible-infected-susceptible (SIS) spreading model, which is taken as a benchmark for the comparison between the N-intertwined approximation and the Pastor-Satorras and Vespignani heterogeneous mean-field (HMF) approximation of the SIS model. The N-intertwined approximation, the HMF approximation, and the ε-SIS spreading model are compared for different graph types. We focus on the epidemic threshold and the steady-state fraction of infected nodes in networks with different degree distributions. Overall, the N-intertwined approximation is superior to the HMF approximation. The N-intertwined approximation is exactly the same as the HMF approximation in regular graphs. However, for some special graph types, such as the square lattice graph and the path graph, the two mean-field approximations are both very different from the ε-SIS spreading model.

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Year:  2012        PMID: 23005834     DOI: 10.1103/PhysRevE.86.026116

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

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Journal:  Sci Rep       Date:  2017-02-10       Impact factor: 4.379

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Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

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Journal:  PLoS Comput Biol       Date:  2013-12-12       Impact factor: 4.475

5.  Predicting the epidemic threshold of the susceptible-infected-recovered model.

Authors:  Wei Wang; Quan-Hui Liu; Lin-Feng Zhong; Ming Tang; Hui Gao; H Eugene Stanley
Journal:  Sci Rep       Date:  2016-04-19       Impact factor: 4.379

6.  The Rationality of Four Metrics of Network Robustness: A Viewpoint of Robust Growth of Generalized Meshes.

Authors:  Xiaofan Yang; Yuanrui Zhu; Jing Hong; Lu-Xing Yang; Yingbo Wu; Yuan Yan Tang
Journal:  PLoS One       Date:  2016-08-12       Impact factor: 3.240

7.  Autocorrelation of the susceptible-infected-susceptible process on networks.

Authors:  Qiang Liu; Piet Van Mieghem
Journal:  Phys Rev E       Date:  2018-06       Impact factor: 2.529

  7 in total

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