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JOURNALS // Problemy Upravleniya // Archive

Probl. Upr., 2023 Issue 4, Pages 14–27 (Mi pu1319)

This article is cited 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.

UDC: 519.8+51-77

Received: 28.12.2022
Revised: 27.03.2023
Accepted: 05.04.2023

DOI: 10.25728/pu.2023.4.2


 English version:
Control Sciences, 2023:4, 12–24


© Steklov Math. Inst. of RAS, 2024