Albi, G., Pareschi, L. and Zanella, M. (2017) Opinion Dynamics over Complex Networks: Kinetic Modelling and Numerical Methods. Kinetic and Related Models, 10, 1-32.
https://doi.org/10.3934/krm.2017001

has been cited by the following article:

• TITLE: Kinetic Modeling of an Opinion Model on Social Networks

  AUTHORS: Hanxiao He

  KEYWORDS: Kinetic Model, Social Network, Connectivity, Mean Opinion

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.11 No.6, June 6, 2023

  ABSTRACT: It is commonly accepted that, on social networks, the opinion of the agents with a higher connectivity, i.e., a larger number of followers, results in more convincing than that of the agents with a lower number of followers. By kinetic modeling approach, a kinetic model of opinion formation on social networks is derived, in which the distribution function depends on both the opinion and the connectivity of the agents. The opinion exchange process is governed by a Sznajd type model with three opinions, ±1, 0, and the social network is represented statistically with connectivity denoting the number of contacts of a given individual. The asymptotic mean opinion of a social network is determined in terms of the initial opinion and the connectivity of the agents.