Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model
Nowadays, in the world, about half of the population can receive information and exchange their opinions with others in online environments (e.g. the Internet), while the other half obtain information and exchange their opinions in offline environments (e.g. face to face) (see eMarketer Report, 2016). The speed at which information is received and opinions are exchanged in online environments is much faster than in offline environments. To model this phenomenon, in this paper we consider online and offline as two subsystems in opinion dynamics, and there is asynchronization when the agents in these two subsystems update their opinions. We show that asynchronization strongly impacts the steady-state time of the opinion dynamics, the opinion clusters and the interactions between the online subsystem and offline subsystem. Furthermore, these effects are often enhanced the larger the size of the online subsystem.
Open Access journal
Citation : Ding, Z., Dong, Y., Liang, H. and Chiclana, F. (2017) Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model. Journal of Artificial Societies and Social Simulation, 20 (4), 6
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes