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Author:

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

Indexed by:

Scopus SCIE CSCD

Abstract:

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.

Keyword:

varying population size online social network equilibrium point rumor spreading model

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

COMMUNICATIONS IN THEORETICAL PHYSICS

ISSN: 0253-6102

Year: 2017

Issue: 4

Volume: 68

Page: 545-552

3 . 1 0 0

JCR@2022

ESI Discipline: PHYSICS;

ESI HC Threshold:158

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 39

SCOPUS Cited Count: 44

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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