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作者:

Dong, Suyalatu (Dong, Suyalatu.) | Deng, Yan-Bin (Deng, Yan-Bin.) | Huang, Yong-Chang (Huang, Yong-Chang.) (学者:黄永畅)

收录:

Scopus SCIE CSCD

摘要:

Based on the infectious disease model with disease latency, this paper proposes a new model for the rumor spreading process in online social network. In this paper what we establish an SEIR rumor spreading model to describe the online social network with varying total number of users and user deactivation rate. We calculate the exact equilibrium points and reproduction number for this model. Furthermore, we perform the rumor spreading process in the online social network with increasing population size based on the original real world Facebook network. The simulation results indicate that the SEIR model of rumor spreading in online social network with changing total number of users can accurately reveal the inherent characteristics of rumor spreading process in online social network.

关键词:

equilibrium point online social network rumor spreading model varying population size

作者机构:

  • [ 1 ] [Dong, Suyalatu]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Deng, Yan-Bin]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Huang, Yong-Chang]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

通讯作者信息:

  • [Dong, Suyalatu]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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来源 :

COMMUNICATIONS IN THEORETICAL PHYSICS

ISSN: 0253-6102

年份: 2017

期: 4

卷: 68

页码: 545-552

3 . 1 0 0

JCR@2022

ESI学科: PHYSICS;

ESI高被引阀值:94

中科院分区:4

被引次数:

WoS核心集被引频次: 35

SCOPUS被引频次: 39

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 4

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