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Link to original content: https://doi.org/10.48550/arXiv.2208.04160
[2208.04160] Effects of Stubbornness on Opinion Dynamics
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Computer Science > Social and Information Networks

arXiv:2208.04160 (cs)
[Submitted on 8 Aug 2022]

Title:Effects of Stubbornness on Opinion Dynamics

Authors:Wanyue Xu, Liwang Zhu, Jiale Guan, Zuobai Zhang, Zhongzhi Zhang
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Abstract:As an important factor governing opinion dynamics, stubbornness strongly affects various aspects of opinion formation. However, a systematically theoretical study about the influences of heterogeneous stubbornness on opinion dynamics is still lacking. In this paper, we study a popular opinion model in the presence of inhomogeneous stubbornness. We show analytically that heterogeneous stubbornness has a great impact on convergence time, expressed opinion of every node, and the overall expressed opinion. We provide an explanation of the expressed opinion in terms of stubbornness-dependent spanning diverging forests. We propose quantitative indicators to quantify some social concepts, including conflict, disagreement, and polarization by incorporating heterogeneous stubbornness, and develop a nearly linear time algorithm to approximate these quantities, which has a proved theoretical guarantee for the error of each quantity. To demonstrate the performance of our algorithm, we perform extensive experiments on a large set of real networks, which indicate that our algorithm is both efficient and effective, scalable to large networks with millions of nodes.
Comments: accepted by CIKM 2022
Subjects: Social and Information Networks (cs.SI)
Cite as: arXiv:2208.04160 [cs.SI]
  (or arXiv:2208.04160v1 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2208.04160

Submission history

From: Wanyue Xu [view email]
[v1] Mon, 8 Aug 2022 13:59:59 UTC (56 KB)
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