Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model

doi:10.1016/j.inffus.2023.102173

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model
	Jiang, Bo 1,3,5; Zhao, Yiyi 2; Dong, Jianglin 1,4; Hu, Jiangping 1,4
刊名	INFORMATION FUSION
	2024-04-01
卷号	104 页码:11
关键词	Deffuant-Weisbush model Inclusiveness-degree function Signed network Opinion formation Black swan phenomenon
ISSN号	1566-2535
DOI	10.1016/j.inffus.2023.102173
通讯作者	Zhao, Yiyi(zhaoyy@swufe.edu.cn)
英文摘要	The evolution of the opinion of an agent is often uncertain in social networks, especially when they have to communicate with agents holding opposing opinions on a certain topic. In this paper, we model this uncertainty mechanism using a proposed inclusiveness function for each agent to capture the acceptance degree of opposing opinions. Then, an inclusiveness-degree based Signed Deffuant-Weisbush (ISDW) model is constructed based on the signed graph theory and the bounded confidence rule. Simulation are performed to investigate the relationships among three opinion dynamic models: The ISDW model, the Signed Deffuant-Weisbush (SDW) model, and the Deffuant-Weisbush (DW) model. Further, the influence of the inclusiveness-degree and the confidence level on opinion formation is analyzed simultaneously. Particularly, we observe a fascinating "black swan"phenomenon where the opinion polarization of two long-standing opposing groups turns to consensus quickly when some special parameters are selected.
资助项目	MOE Project of Humanities and Social Sciences, China[21YJA630122] ; National Key Research and Development Program of China[2022YFE0133100] ; Sichuan Science and Technology Program, China[2020YFSY0012]
WOS关键词	SOCIAL NETWORKS ; PUBLIC-OPINION ; CONFIDENCE ; DYNAMICS ; DECISION ; CONSENSUS ; CONVERGENCE ; SIMULATION ; LEADERS
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:001132144600001
资助机构	MOE Project of Humanities and Social Sciences, China ; National Key Research and Development Program of China ; Sichuan Science and Technology Program, China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54916]
专题	多模态人工智能系统全国重点实验室
通讯作者	Zhao, Yiyi
作者单位	1.Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China 2.Southwestern Univ Finance & Econ, Fac Business Adm, Sch Business Adm, Chengdu 611130, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 4.Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Bo,Zhao, Yiyi,Dong, Jianglin,et al. Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model[J]. INFORMATION FUSION,2024,104:11.
APA	Jiang, Bo,Zhao, Yiyi,Dong, Jianglin,&Hu, Jiangping.(2024).Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model.INFORMATION FUSION,104,11.
MLA	Jiang, Bo,et al."Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model".INFORMATION FUSION 104(2024):11.