Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis
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 pro...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
IEEE
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/78259 |
| _version_ | 1848763948495536128 |
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| author | Ahn, Hyo-Sung Ye, Mengbin Tran, Quoc Van Trinh, Minh Hoang Liu, Ji Moore, Kevin L |
| author_facet | Ahn, Hyo-Sung Ye, Mengbin Tran, Quoc Van Trinh, Minh Hoang Liu, Ji Moore, Kevin L |
| author_sort | Ahn, Hyo-Sung |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:11:34Z |
| format | Journal Article |
| id | curtin-20.500.11937-78259 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:11:34Z |
| publishDate | 2020 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-782592020-06-08T05:52:31Z Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis Ahn, Hyo-Sung Ye, Mengbin Tran, Quoc Van Trinh, Minh Hoang Liu, Ji Moore, Kevin L 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. 2020 Journal Article http://hdl.handle.net/20.500.11937/78259 10.1109/TCSS.2020.2974899 IEEE fulltext |
| spellingShingle | Ahn, Hyo-Sung Ye, Mengbin Tran, Quoc Van Trinh, Minh Hoang Liu, Ji Moore, Kevin L Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title_full | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title_fullStr | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title_full_unstemmed | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title_short | Opinion Dynamics With Cross-Coupling Topics: Modeling and Analysis |
| title_sort | opinion dynamics with cross-coupling topics: modeling and analysis |
| url | http://hdl.handle.net/20.500.11937/78259 |