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Research on Opinion Dynamics on Social Networks

Authors: Ke Wu;

Research on Opinion Dynamics on Social Networks

Abstract

Opinion dynamics, which focuses on the formation, propagation, and evolution of people’s opinions in social networks, has recently been widely studied. This paper outlines the history of opinion dynamics research, current methods, and future directions. Specifically, some basic theoretical concepts of graph theory are initially introduced. Then, the key research findings of opinion dynamics, such as Voter’s and Degroot’s models, which are discrete and continuous models, are reviewed. Finally, the future direction of this field is discussed.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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