Optimal Control for Positive and Negative Information Diffusion Based on Game Theory in Online Social Networks

被引:15
作者
Wan, Pengfei [1 ]
Wang, Xiaoming [1 ]
Min, Geyong [2 ]
Wang, Liang [1 ]
Lin, Yaguang [1 ]
Yu, Wangyang [1 ]
Wu, Xiaojun [1 ]
机构
[1] Minist Educ, Key Lab Modern Teaching Technol, Xian 710062, Peoples R China
[2] Univ Exeter, Dept Math & Comp Sci, Exeter EX4 4QF, England
来源
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2023年 / 10卷 / 01期
基金
中国国家自然科学基金;
关键词
Social networking (online); Game theory; Behavioral sciences; Real-time systems; Stability analysis; Optimal control; Epidemics; Evolutionary game theory; information diffusion; optimal control strategies; online social networks; MODEL; PROPAGATION; MEDIA; DYNAMICS; TWITTER; IMPACT;
D O I
10.1109/TNSE.2022.3211988
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In online social networks, information diffusion presents a complicated dynamic process that accompanies users' lives, in which the link between multi-information symbiosis and conflict is frequently overlooked. We investigate two aspects that influence the process of diffusion by examining the phenomena of information dissemination between individuals and the general environment in online social networks. To characterize that complicated process, an effective model of positive and negative information diffusion based on evolutionary game theory is developed. To reduce the impact of negative information on the network ecosystem as much as possible while increasing the propagation of positive information, real-time control mechanisms are provided, and a corresponding optimal problem of control resource allocation is constructed. Considering some special circumstances that cannot monitor the diffusion process in real time, the pulse control strategies are offered. The efficiency of control systems is validated by theoretical evidence and experiments, and the impact of various factors on information dispersion is examined. The work will contribute to network management by providing a theoretical framework for understanding and managing the distribution of diverse types of information.
引用
收藏
页码:426 / 440
页数:15
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