A Dissemination Model Based on Psychological Theories in Complex Social Networks
Luo, Tianyi1,2; Cao, Zhidong1; Zeng, Daniel1; Zhang, Qingpeng3
Source PublicationIEEE Transactions on Cognitive and Developmental Systems
2022-06
Volume14Issue:2Pages:519-531
Abstract

Information spread on social media has been extensively studied through both model-driven theoretical research and data-driven case studies. Recent empirical studies have analyzed the differences and complexity of information dissemination, but theoretical explanations of its characteristics from a modeling perspective are underresearched. To capture the complex patterns of the information dissemination mechanism, we propose a resistant linear threshold (RLT) dissemination model based on psychological theories and empirical findings. In this article, we validate the RLT model on three types of networks and then quantify and compare the dissemination characteristics of the simulation results with those from the empirical results. In addition, we examine the factors affecting dissemination. Finally, we perform two case studies of the 2019 novel Corona Virus Disease (COVID-19)-related information dissemination. The dissemination characteristics derived by the simulations are consistent with the empirical research. These results demonstrate that the RLT model is able to capture the patterns of information dissemination on social media and thus provide model-driven insights into the interpretation of public opinion, rumor control, and marketing strategies on social media.

DOI10.1109/TCDS.2021.3052824
Indexed BySCIE
Language英语
WOS IDWOS:000809402600027
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48980
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorCao, Zhidong
Affiliation1.the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing
2.h the School of Artificial Intelligence, University of Chinese Academy of Science, Beijing
3.the School of Data Science, City University of Hong Kong, Hong Kong
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Luo, Tianyi,Cao, Zhidong,Zeng, Daniel,et al. A Dissemination Model Based on Psychological Theories in Complex Social Networks[J]. IEEE Transactions on Cognitive and Developmental Systems,2022,14(2):519-531.
APA Luo, Tianyi,Cao, Zhidong,Zeng, Daniel,&Zhang, Qingpeng.(2022).A Dissemination Model Based on Psychological Theories in Complex Social Networks.IEEE Transactions on Cognitive and Developmental Systems,14(2),519-531.
MLA Luo, Tianyi,et al."A Dissemination Model Based on Psychological Theories in Complex Social Networks".IEEE Transactions on Cognitive and Developmental Systems 14.2(2022):519-531.
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