Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis
dc.contributor.author | Ahn, Hyo-Sung | |
dc.contributor.author | Ye, Mengbin | |
dc.contributor.author | Tran, Quoc Van | |
dc.contributor.author | Trinh, Minh Hoang | |
dc.contributor.author | Liu, Ji | |
dc.contributor.author | Moore, Kevin L | |
dc.date.accessioned | 2020-03-13T03:52:41Z | |
dc.date.available | 2020-03-13T03:52:41Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Ahn, H.-S. and Ye, M. and Tran, Q.V. and Trinh, M.H. and Liu, J. and Moore, K.L. 2020. Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis. IEEE Transactions on Computational Social Systems. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/78259 | |
dc.identifier.doi | 10.1109/TCSS.2020.2974899 | |
dc.description.abstract |
To model the cross couplings of multiple topics, we develop a set of rules for opinion updates of a group of agents. The rules are used to design or assign values to the elements of weighting matrices. The cooperative and anticooperative couplings are modeled in both the inverse-proportional and proportional structures. The behaviors of opinion dynamics are analyzed using a nullspace property of the state-dependent matrix-weighted Laplacian matrices and a Lyapunov candidate. Various consensus properties of the state-dependent matrix-weighted Laplacian matrices are predicted according to the interagent network topology and interdependent topical coupling topologies. | |
dc.publisher | IEEE | |
dc.title | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis | |
dc.type | Journal Article | |
dcterms.source.issn | 2329-924X | |
dcterms.source.title | IEEE Transactions on Computational Social Systems | |
dc.date.updated | 2020-03-13T03:52:41Z | |
curtin.note |
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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] |