Direct immune-SCIR public-opinion propagation model based on real-time online users

doi:10.1088/1674-1056/aba9c0

中国物理B ›› 2020, Vol. 29 ›› Issue (10): 100204-.doi: 10.1088/1674-1056/aba9c0

Yun-Ming Wang(王运明)¹^,², Tian-Yi Guo(郭天一)¹^,²^,†(), Wei-Dong Li(李卫东)¹^,²^,‡(), Bo Chen(陈波)³

收稿日期:2020-06-06 修回日期:2020-07-13 接受日期:2020-07-28 出版日期:2020-10-05 发布日期:2020-10-05
通讯作者: Tian-Yi Guo(郭天一), Wei-Dong Li(李卫东)

Direct immune-SCIR public-opinion propagation model based on real-time online users

Yun-Ming Wang(王运明)^1,2,, Tian-Yi Guo(郭天一)^1,2,†, Wei-Dong Li(李卫东)^1,2,‡, and Bo Chen(陈波)³

¹ School of Electrical and Information Engineering, Dalian Jiaotong University, Dalian 116028, China
² Liaoning Railway Logistics Network Engineering Technology Research Center, Dalian 116028, China
³ College of Mechanical and Electronical Engineering, Lingnan Normal University, Zhanjiang 524048, China

Received:2020-06-06 Revised:2020-07-13 Accepted:2020-07-28 Online:2020-10-05 Published:2020-10-05
Contact: ^†Corresponding author. E-mail: guotianyi960531@gmail.com第一通讯作者 ^‡Corresponding author. E-mail: li@djtu.edu.cn
About author:
†Corresponding author. E-mail: guotianyi960531@gmail.com
‡Corresponding author. E-mail: li@djtu.edu.cn
* Project supported by the National Natural Science Foundation of China (Grant No. 61471080), the Equipment Development Department Research Foundation of China (Grant No. 61400010303), the Natural Science Research Project of Liaoning Education Department of China (Grant Nos. JDL2019019 and JDL2020002), the Surface Project for Natural Science Foundation in Guangdong Province of China (Grant No. 2019A1515011164), and the Science and Technology Plan Project in Zhanjiang, China (Grant No. 2018A06001).

摘要/Abstract

Abstract:

Current public-opinion propagation research usually focused on closed network topologies without considering the fluctuation of the number of network users or the impact of social factors on propagation. Thus, it remains difficult to accurately describe the public-opinion propagation rules of social networks. In order to study the rules of public opinion spread on dynamic social networks, by analyzing the activity of social-network users and the regulatory role of relevant departments in the spread of public opinion, concepts of additional user and offline rates are introduced, and the direct immune-susceptible, contacted, infected, and refractory (DI-SCIR) public-opinion propagation model based on real-time online users is established. The interventional force of relevant departments, credibility of real information, and time of intervention are considered, and a public-opinion propagation control strategy based on direct immunity is proposed. The equilibrium point and the basic reproduction number of the model are theoretically analyzed to obtain boundary conditions for public-opinion propagation. Simulation results show that the new model can accurately reflect the propagation rules of public opinion. When the basic reproduction number is less than 1, public opinion will eventually disappear in the network. Social factors can significantly influence the time and scope of public opinion spread on social networks. By controlling social factors, relevant departments can analyze the rules of public opinion spread on social networks to suppress the propagate of negative public opinion and provide a powerful tool to ensure security and stability of society.

Key words: public opinion propagation model, direct immunization, real-time online users, basic reproduction number

中图分类号: (Numerical simulation; solution of equations)

02.60.Cb

64.60.aq (Networks) 89.75.-k (Complex systems)

Yun-Ming Wang(王运明), Tian-Yi Guo(郭天一), Wei-Dong Li(李卫东), Bo Chen(陈波). [J]. 中国物理B, 2020, 29(10): 100204-.

Yun-Ming Wang(王运明), Tian-Yi Guo(郭天一)†, Wei-Dong Li(李卫东)‡, and Bo Chen(陈波). Direct immune-SCIR public-opinion propagation model based on real-time online users[J]. Chin. Phys. B, 2020, 29(10): 100204-.

图/表 11

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Direct immune-SCIR public-opinion propagation model based on real-time online users

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