Decayed Trust Propagation Method in Multiple Overlapping Communities for Improving Consensus Under Social Network Group Decision Making
dc.contributor.author | Ji, Feixia | |
dc.contributor.author | Wu, Jian | |
dc.contributor.author | Chiclana, Francisco | |
dc.contributor.author | Sun, Qi | |
dc.contributor.author | Liang, Changyong | |
dc.contributor.author | Herrera-Viedma, Enrique | |
dc.date.acceptance | 2024-05-06 | |
dc.date.accessioned | 2024-05-20T13:46:45Z | |
dc.date.available | 2024-05-20T13:46:45Z | |
dc.date.issued | 2024-05-09 | |
dc.description | The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. | |
dc.description.abstract | This article proposes a decayed trust propagation method among multiple overlapping communities, and establishes a trust-driven consensus model for social network group decision making (SN-GDM). On the one hand, the use of overlapping nodes simplifies trust propagation by bridging complex connections among multiply overlapping communities. On the other hand, trust models' accuracy and realism are enhanced with the concept of trust decay, which accounts for the temporal dynamics of trust propagation. Thus, a first objective of this paper is to develop a trust propagation operator based on trust decay among multiple overlapping communities by leveraging overlapping nodes. By incorporating overlapping nodes' diverse trust relationships and perspectives, this approach allows to achieve reliable sources for generating recommendations in SN-GDM. A second objective of this paper is to design a decayed trust propagation induced consensus model to determine the optimal combination of overlapping nodes and feedback parameters, while balancing consensus efficiency and interaction willingness. The innovation of this approach is grounded in its ability to avoid excessive group adjustment to reach consensus. Numerical examples and comparative analysis demonstrate the model's performance in achieving efficient consensus under various representative recommendations. | |
dc.funder | No external funder | |
dc.identifier.citation | F. Ji, J. Wu, F. Chiclana, Q. Sun, C. Liang and E. Herrera-Viedma (2024) Decayed Trust Propagation Method in Multiple Overlapping Communities for Improving Consensus Under Social Network Group Decision Making. IEEE Transactions on Fuzzy Systems, | |
dc.identifier.doi | https://doi.org/10.1109/TFUZZ.2024.3398591 | |
dc.identifier.issn | 1063-6706 | |
dc.identifier.issn | 1941-0034 | |
dc.identifier.uri | https://hdl.handle.net/2086/23803 | |
dc.language.iso | en | |
dc.peerreviewed | Yes | |
dc.publisher | IEEE | |
dc.relation.ispartof | IEEE Transactions on Fuzzy Systems | |
dc.researchinstitute | Institute of Artificial Intelligence (IAI) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Linguistics | |
dc.subject | Fuzzy systems | |
dc.subject | Social networking (online) | |
dc.subject | Decision making | |
dc.subject | Numerical models | |
dc.subject | Economics | |
dc.subject | Computational modeling | |
dc.subject | Consensus | |
dc.subject | fuzzy trust function | |
dc.subject | overlapping communities | |
dc.subject | social network group decision making | |
dc.subject | trust propagation | |
dc.title | Decayed Trust Propagation Method in Multiple Overlapping Communities for Improving Consensus Under Social Network Group Decision Making | |
dc.type | Article |