Polarization and Fluctuations in Signed Social Networks

• 成果类型: Article
• 署名作者: Cisneros-Velarde, Pedro; Chan, Kevin S.; Bullo, Francesco
• 署名单位: University of California System; University of California Santa Barbara; United States Department of Defense; US Army Research, Development & Engineering Command (RDECOM); US Army Research Laboratory (ARL)
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3024967
• 发表日期: 2021
• 页码: 3789-3793
• 关键词: Social network services; Mathematical model; Analytical models; GOVERNMENT; fluctuations; indexes; Network topology; opinion dynamics; polarization; social balance; social networks; systems theory

摘要

Much recent research on social networks has focused on the modeling and analysis of how opinions evolve as a function of interpersonal relationships. It is also of great interest to model and understand the implications of friendly and antagonistic relationships. In this article, we propose a new, simple and intuitive model that incorporates the socio-psychological phenomenon of the boomerang effect in opinion dynamics. We establish that, under certain conditions on the structure of the signed network that corresponds to the so-called structural balance property, the opinions in the network polarize. Compared to other models in the literature, our model displays a richer and perhaps more intuitive behavior of the opinions when the social network does not satisfy structural balance. In particular, we analyze signed networks in which the opinions show persistent fluctuations (including the case of the so-called clustering balance).