CSpace
Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks
Su, Wei1,2; Wang, Xueqiao3; Chen, Ge4,5; Yu, Yongguang6; Hadzibeganovic, Tarik7
2020-08-01
Source PublicationINFORMATION SCIENCES
ISSN0020-0255
Volume528Pages:219-230
AbstractA fundamental question that arises in the analysis of the noise-based synchronization of opinion dynamics with bounded confidence (BC) is what opinion structures can be synchronized by noise. In the standard Hegselmann-Krause (HK) model, each agent examines the opinion values of all other agents and then selects neighbors who are appropriate for opinion updating in accordance with the BC scheme. In reality, however, people are more likely to exchange opinions with only a limited set of individuals, resulting in a predetermined local communication network as postulated in the DeGroot model. In this paper, we develop a new model of opinion formation that endows the heterogeneous HK dynamics with a time-varying communication topology, and we investigate its noise-induced synchronization both mathematically and numerically. We show that opinion dynamics in this model are noise-synchronizable if and only if the switching communication graph is uniformly jointly connected. Our rigorous mathematical analysis and simulation experiments demonstrate that connected discourse topology in combination with fair amounts of noise can lead to a quasi-consensus that is inducible from any initial state or any underlying system size. Our findings have profound implications for the design of future strategies of social control and global opinion optimization. (C) 2020 Elsevier Inc. All rights reserved.
KeywordOpinion dynamics Bounded confidence Noise-induced synchronization Heterogeneous networks Communication topology Social learning
DOI10.1016/j.ins.2020.04.018
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of Ministry of Science and Technology of China[2018AAA0101002] ; National Natural Science Foundation of China[61803024] ; National Natural Science Foundation of China[61772063] ; National Natural Science Foundation of China[11688101] ; General Project of Scientific Research Project of the Beijing Education Committee[KM201811417002] ; Foundation of Beijing Union University[BPHR2019DZ08]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000532827200013
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/51470
Collection中国科学院数学与系统科学研究院
Corresponding AuthorWang, Xueqiao
Affiliation1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Minist Educ, Key Lab Knowledge Automat Ind Proc, Beijing 100083, Peoples R China
3.Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Natl Ctr Math & Interdisciplinary Sci, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
6.Beijing Jiaotong Univ, Sch Sci, Beijing 100044, Peoples R China
7.Karl Franzens Univ Graz, Fac Nat Sci, Dept Psychol, A-8010 Graz, Austria
Recommended Citation
GB/T 7714
Su, Wei,Wang, Xueqiao,Chen, Ge,et al. Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks[J]. INFORMATION SCIENCES,2020,528:219-230.
APA Su, Wei,Wang, Xueqiao,Chen, Ge,Yu, Yongguang,&Hadzibeganovic, Tarik.(2020).Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks.INFORMATION SCIENCES,528,219-230.
MLA Su, Wei,et al."Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks".INFORMATION SCIENCES 528(2020):219-230.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Su, Wei]'s Articles
[Wang, Xueqiao]'s Articles
[Chen, Ge]'s Articles
Baidu academic
Similar articles in Baidu academic
[Su, Wei]'s Articles
[Wang, Xueqiao]'s Articles
[Chen, Ge]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Su, Wei]'s Articles
[Wang, Xueqiao]'s Articles
[Chen, Ge]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.