Formal models of opinion formation and their application to real data: evidence from online social networks

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
I. Kozitsin
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引用次数: 27

Abstract

ABSTRACT In this paper, we analyze data on the opinion dynamics of 1,660,927 users of an online social network using formal models of opinion formation. We have observed that moderate users have a tendency to follow the average opinion of their online friends, which we interpret as a presence of bounded confidence. Further, we have discovered that the probability of moving toward the average opinion goes down if the difference between it and the user’s opinion is too large. Another interesting feature uncovered is that if a user’s opinion and the average opinion of their online friends are very similar, the influence also decreases.
意见形成的正式模型及其在真实数据中的应用:来自在线社交网络的证据
摘要本文采用意见形成的形式化模型,分析了在线社交网络上1,660,927名用户的意见动态数据。我们观察到,适度的用户倾向于跟随他们在线朋友的平均意见,我们将其解释为有限自信的存在。此外,我们发现,如果平均意见与用户意见之间的差异太大,则倾向于平均意见的概率会下降。另一个有趣的发现是,如果一个用户的观点与其在线朋友的平均观点非常相似,其影响力也会下降。
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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