4.7 Article

The dynamics and control of 2I2SR rumor spreading models in multilingual online social networks

期刊

INFORMATION SCIENCES
卷 581, 期 -, 页码 18-41

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2021.08.096

关键词

Rumor propagation; Online social networks; Time delay; Hopf bifurcation; Optimal control

资金

  1. National Natural Science Foundation of China [U1703262, 62003289, 62163035]
  2. Graduate Innovation Program of Xinjiang Uygur Autonomous Region [XJ2021G019]
  3. Tian-shan Innovation Team Program [2020D14017]

向作者/读者索取更多资源

This paper proposes new 2I2SR rumor propagation models with and without time-delay based on multilingual environment, exploring the rules of rumor propagation on online social networks and formulating corresponding control strategies through theoretical analysis and real-time optimization methods.
Online social networks (OSNs), as multilingual communication platforms, provide great convenience for rumor spreading. However, a great deal of negative impacts on individuals, society and economy will be caused during the spread of rumor. In order to explore the rules of rumor propagation on online social networks and formulate the corresponding control strategies, in this paper, we propose new 2I2SR rumor propagation models with and without time-delay based on multilingual environment. Firstly, we calculate the basic reproduction number which completely determines the local and global stability of the rumor free equilibrium. Secondly, our theoretical analysis reveals the existence and stability of the rumor equilibria, and some critical conditions are obtained for the existence of Hopf bifurcation by selecting critical parameters and delay as bifurcation parameters. Furthermore, by using Pontryagin's Maximum principle, a real-time optimization method that minimizes the cost of restraining rumor is proposed to eliminate the rumor within an expected time period. Finally, some numerical simulations and a practical application are given to prove the correctness of the theoretical results. (c) 2021 Elsevier Inc. All rights reserved.

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