Abstract
This paper analyzes two proposed models for simulating opinion dynamics in social networks where beliefs might be considered to be competing. In both models agents have a degree of tolerance, which represents the extent to which the agent takes into account the differing beliefs of other agents, and a degree of conflict, which represents the extent to which two beliefs are considered to be competing. In this paper, we apply different tolerance and conflict degrees to different groups in a network, and see how these groups affect each other. Simulations show that the groups having different tolerance degrees do not have significant effect upon each other in both Models I and II. On the other hand, the group perceiving a conflict causes more diversity in the agents based on Model I, but introduces a higher consensus level among agents when the fraction becomes larger in Model II.
Original language | English |
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Title of host publication | Complex Networks VI. Studies in Computational Intelligence |
Publisher | Springer |
Pages | 171-178 |
Volume | 597 |
ISBN (Print) | 978-3-319-16111-2 |
DOIs | |
Publication status | Published (in print/issue) - Mar 2015 |