A survey on the fusion process in opinion dynamics
By Yucheng Dong, Min Zhan, Gang Kou, Zhaogang Ding, Haiming Liang. Information Fusion, 2018
360 citations recorded by the source corpus.
Abstract Opinion dynamics is a fusion process of individual opinions, in which a group of interacting agents continuously fuse their opinions on the same issue based on established fusion rules to reach a consensus, polarization, or fragmentation in the final stage. To date, many studies have been conducted on opinion dynamics. To provide a clear perspective on the fusion process in opinion dynamics, this paper presents a review of the framework and formulation of opinion dynamics as well as some basic models, extensions, and applications. Based on the insights gained from prior studies, several open problems are proposed for future research.
Subfields: Sociology and Political Science, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/db2956ec59029141c5fbe35d65e78b66f274bae9
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In Sociology and Political Science
In Statistical and Nonlinear Physics
Citations in the corpus
- A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (2019, background): “Opinion dynamics can be regarded, on the context of social networks, as the way in which the network is created and evolves provoking individuals’ attitudes, opinions and behaviours toward particular objects to change taking into consideration the displayed attitudes, opinions, and behaviours of oth”
- Consensus reaching in social network group decision making: Research paradigms and challenges (2018, background): “On the other hand, opinion evolution, also called opinion dynamics, describes the process of forming opinions among a group of interactive decision makers [11-21].”