Phase Transition in Opinion Diffusion in Social Networks
CALIFORNIA UNIV DAVIS DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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Gossiping models have been increasingly applied to study social network phenomena, in particular, to model the dynamics of social behavior and beliefs through local interactions. This paper investigates how the opinions of social agents diffuse in a network under a so-called hard-interaction model in which agents interact more strongly with neighbors who share their beliefs and have no influence on the neighbors whose opinions differ by more than a threshold. We analyze the convergence properties of the opinion dynamics and provide analytical insights to characterize the phase transition from a society of radicalized opinions to one of convergent behavior.
- Statistics and Probability
- Computer Systems