A Coevolutionary Model for Actions and Opinions in Social Networks
MetadataShow full item record
© 2020 IEEE. In complex social networks, the decision-making mechanisms behind human actions and the cognitive processes that shape opinion formation processes are often intertwined, leading to complex and varied collective emergent behavior. In this paper, we propose a mathematical model that captures such a coevolution of actions and opinions. Following a discrete-time process, each individual decides between binary actions, aiming to coordinate with the actions of other members observed on a network of interactions and taking into account their own opinion. At the same time, the opinion of each individual evolves due to the opinions shared by other members, the actions observed on the network, and, possibly, an external influence source. We provide a global convergence result for a special case of the coupled dynamics. Steady state configurations in which all the individuals take the same action are then studied, elucidating the role of the model parameters and the network structure on the collective behavior of the system.
Showing items related by title, author, creator and subject.
A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systemsZino, L.; Ye, Mengbin ; Cao, M. (2020)© 2020 Author(s). Motivated by the literature on opinion dynamics and evolutionary game theory, we propose a novel mathematical framework to model the intertwined coevolution of opinions and decision-making in a complex ...
Evans, Louis; Cronin, Darryl (2006)OverviewThe Northampton workshop was convened by the Centre for Sustainable Mine Lakes (CSML) and the Central West College of TAFE in association with the Ngalang Boodja Council, Collie. The workshop was conducted at ...
Vollenbroek, W.; De Vries, S.; Constantinides, E.; Kommers, Piet (2014)Individual usage of social media is expected to have a growing impact on the corporate reputation of organisations. Influential users of social media can disseminate positive or negative information and opinions about ...