Abstract
AbstractWe introduce a minimal opinion formation model that is quite flexible and can reproduce a wide variety of the existing micro-influence assumptions and models. The model can be easily calibrated on real data, upon which it imposes only a few requirements. From this perspective, our model can be considered as a bridge, connecting theoretical studies on opinion formation models and empirical research on social dynamics. We investigate the model analytically by using mean-field approximation and numerically via Monte Carlo simulations. Our analysis is exemplified by recently reported empirical data drawn from an online social network. We demonstrate that the model calibrated on these data may reproduce fragmented and polarizing social systems. Furthermore, we manage to generate an artificial society that features properties quantitatively and qualitatively similar to those observed empirically at the macro scale. This ability became possible after we had advanced the model with two important communication features: selectivity and personalization algorithms.
Publisher
Springer Science and Business Media LLC
Cited by
24 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Agent-Based Model of Cultural Landscape Evolution in Euclidean Space;Communications in Computer and Information Science;2023-12-14
2. Probabilistic analysis of agent-based opinion formation models;Scientific Reports;2023-11-17
3. Coevolution of Opinions and Ties in a Social Network: a Differential Equations Approach;2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA);2023-11-08
4. Health behavior in Russia during the COVID-19 pandemic;Frontiers in Public Health;2023-10-02
5. The Impact of Online Social Network Algorithms on User Opinion Formation;2023 16th International Conference Management of large-scale system development (MLSD);2023-09-26