Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks

doi:10.1007/s11633-019-1169-8

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	Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks
	Brian D. O. Anderson 1,2,3; Mengbin Ye 2,4
刊名	International Journal of Automation and Computing
	2019
卷号	16 期号:2 页码:129-149
关键词	Opinion dynamics social networks influence networks agent-based models multi-agent systems networked systems.
ISSN号	1476-8186
DOI	10.1007/s11633-019-1169-8
英文摘要	A fundamental aspect of society is the exchange and discussion of opinions between individuals, occurring in situations as varied as company boardrooms, elementary school classrooms and online social media. After a very brief introduction to the established results of the most fundamental opinion dynamics models, which seek to mathematically capture observed social phenomena, a brief discussion follows on several recent themes pursued by the authors building on the fundamental ideas. In the first theme, we study the way an individual′s self-confidence can develop through contributing to discussions on a sequence of topics, reaching a consensus in each case, where the consensus value to some degree reflects the contribution of that individual to the conclusion. During this process, the individuals in the network and the way they interact can change. The second theme introduces a novel discrete-time model of opinion dynamics to study how discrepancies between an individual′s expressed and private opinions can arise due to stubbornness and a pressure to conform to a social norm. It is also shown that a few extremists can create “pluralistic ignorance”, where people believe there is majority support for a position but in fact the position is privately rejected by the majority. Last, we consider a group of individuals discussing a collection of logically related topics. In particular, we identify that for topics whose logical interdependencies take on a cascade structure, disagreement in opinions can occur if individuals have competing and/or heterogeneous views on how the topics are related, i.e., the logical interdependence structure varies between individuals.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42327]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.Data61-Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra 2601, Australia 2.Research School of Engineering, Australian National University, Canberra 2601, Australia 3.School of Automation, Hangzhou Dianzi University, Hangzhou 310000, China 4.Faculty of Science and Engineering, Engineering and Technology Institute Groningen (ENTEG), University of Groningen, Groningen 9747 AG, The Netherland
推荐引用方式 GB/T 7714	Brian D. O. Anderson,Mengbin Ye. Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks[J]. International Journal of Automation and Computing,2019,16(2):129-149.
APA	Brian D. O. Anderson,&Mengbin Ye.(2019).Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks.International Journal of Automation and Computing,16(2),129-149.
MLA	Brian D. O. Anderson,et al."Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks".International Journal of Automation and Computing 16.2(2019):129-149.