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This article is cited in 1 scientific paper (total in 1 paper)
Control in the socio-economic systems
Models of joint dynamics of opinions and actions in online social networks. Part III: Binary models
D. A. Gubanov, D. A. Novikov Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Abstract:
Based on VKontakte data, we study the influence of various factors on the dynamics of opinions and actions both at the macro level (“public opinion”) and at the micro level (opinions and actions of individual agents). This paper concludes the multi-part study. Identification results are presented for binary models (threshold models and models with latent variables) that describe the dynamics of agents' opinions and actions in a social network. These models are used to estimate the influence of various factors on agents' opinions and actions (public opinion, the agent's individual opinions and actions, the opinions and actions of the social environment, and the mechanisms of the agent's trust in information sources and information content). Finally, linear models are compared with threshold models and qualitative findings of the multi-part study are drawn.
Keywords:
social network, agent, opinion, action, social influence, cognitive dissonance, trust in information.
Received: 28.12.2022 Revised: 27.03.2023 Accepted: 05.04.2023
Citation:
D. A. Gubanov, D. A. Novikov, “Models of joint dynamics of opinions and actions in online social networks. Part III: Binary models”, Probl. Upr., 2023, no. 4, 14–27; Control Sciences, 2023, no. 4, 12–24
Linking options:
https://www.mathnet.ru/eng/pu1319 https://www.mathnet.ru/eng/pu/v4/p14
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Abstract page: | 51 | Full-text PDF : | 15 | References: | 17 |
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