Expressed and Private Opinion Dynamics on Influence Networks with Asynchronous Updating
dc.contributor.author | Xia, W. | |
dc.contributor.author | Liang, H. | |
dc.contributor.author | Ye, Mengbin | |
dc.date.accessioned | 2021-02-16T01:07:13Z | |
dc.date.available | 2021-02-16T01:07:13Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Xia, W. and Liang, H. and Ye, M. 2020. Expressed and Private Opinion Dynamics on Influence Networks with Asynchronous Updating. In Proceedings of the 59th IEEE Conference on Decision and Control (CDC),14-18 Dec 2020, pp. 3687-3692. Jeju, South Korea. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/82625 | |
dc.identifier.doi | 10.1109/CDC42340.2020.9303803 | |
dc.description.abstract |
© 2020 IEEE. In this paper, an asynchronous discrete-time opinion dynamics model on a social influence network is considered. At each time instant, a single individual activates and updates two state variables simultaneously. The individual's new private opinion is a weighted average of her current private opinion, the expressed opinions of her neighbors, and a constant prejudice. Meanwhile, the individual's new expressed opinion is equal to her current private opinion, altered due to a pressure to conform to the public opinion as perceived by the individual, being the average expressed opinion among her neighbors. We analyze the system for social networks which are rooted, and show that if no individual holds a prejudice, then a mild assumption on the activation sequence of the individuals guarantees convergence. In particular, the expressed and private opinions of all individuals converge to the same value exponentially fast, with two lower bounds on convergence speeds based on two different assumptions on the network topology. Simulations are provided to illustrate the result, and provide support to the conjecture that the system dynamics may converge even if individuals hold an existing prejudice. | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/DP160104500 | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/DP190100887 | |
dc.title | Expressed and Private Opinion Dynamics on Influence Networks with Asynchronous Updating | |
dc.type | Conference Paper | |
dcterms.source.volume | 2020-December | |
dcterms.source.startPage | 3687 | |
dcterms.source.endPage | 3692 | |
dcterms.source.issn | 0743-1546 | |
dcterms.source.title | Proceedings of the IEEE Conference on Decision and Control | |
dcterms.source.isbn | 9781728174471 | |
dcterms.source.conferencelocation | Jeju, South Korea | |
dc.date.updated | 2021-02-16T01:07:12Z | |
curtin.note |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
curtin.department | School of Elec Eng, Comp and Math Sci (EECMS) | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Ye, Mengbin [0000-0003-1698-0173] | |
curtin.contributor.scopusauthorid | Ye, Mengbin [56203529600] |