Effect of users’ opinion evolution on information diffusion in online social networks

Hengmin Zhu, Yuehan Kong, Jing Wei and Jing Ma

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 2034-2045

Abstract: The process of topic propagation always interweaves information diffusion and opinion evolution, but most previous works studied the models of information diffusion and opinion evolution separately, and seldom focused on their interaction of each other. To shed light on the effect of users’ opinion evolution on information diffusion in online social networks, we proposed a model which incorporates opinion evolution into the process of topic propagation. Several real topics propagating on Sina Microblog were collected to analyze individuals’ propagation intentions, and different propagation intentions were considered in the model. The topic propagation was simulated to explore the impact of different opinion distributions and intervention with opposite opinion on information diffusion. Results show that the topic with one-sided opinions can spread faster and more widely, and intervention with opposite opinion is an effective measure to guide the topic propagation. The earlier to intervene, the more effectively the topic propagation would be guided.

Keywords: Opinion evolution; Information diffusion; Social networks; Opinion distribution; Intervention (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:2034-2045

DOI: 10.1016/j.physa.2017.11.121

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