Show simple item record

dc.contributor.authorAhn, Hyo-Sung
dc.contributor.authorYe, Mengbin
dc.contributor.authorTran, Quoc Van
dc.contributor.authorTrinh, Minh Hoang
dc.contributor.authorLiu, Ji
dc.contributor.authorMoore, Kevin L
dc.identifier.citationAhn, 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.

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.titleOpinion Dynamics With Cross-Coupling Topics: Modeling and Analysis
dc.typeJournal Article
dcterms.source.titleIEEE Transactions on Computational Social Systems

© 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.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidYe, Mengbin [0000-0003-1698-0173]

Files in this item


This item appears in the following Collection(s)

Show simple item record