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.
Chen, S., Glass, DH., & McCartney, M. (2015). Dynamics of Conflicting Beliefs in Social Networks. In Complex Networks VI. Studies in Computational Intelligence (Vol. 597, pp. 171-178). Springer. https://doi.org/10.1007/978-3-319-16112-9_17