Bounded Confidence Evolution of Opinions and Actions in Social Networks
Metadata
Show full item recordEditorial
IEEE
Materia
Action Bounded confidence Evolution Opinion Social network
Date
2020-11-24Referencia bibliográfica
Published version: M. Zhan... [et al.], "Bounded Confidence Evolution of Opinions and Actions in Social Networks," in IEEE Transactions on Cybernetics, doi: [10.1109/TCYB.2020.3043635]
Sponsorship
National Natural Science Foundation of China (NSFC) 71991460 71991465 71871149 71910107002 71725001; Research Foundation of Education Bureau of Hunan Province, China 20B147; Spanish Government PID2019-103880RB-I00/AEI/10.13039/501100011033Abstract
Inspired by the continuous opinion and discrete
action (CODA) model, bounded confidence and social networks,
the bounded confidence evolution of opinions and actions in
social networks is investigated and a social network opinions and
actions evolutions (SNOAEs) model is proposed. In the SNOAE
model, it is assumed that each agent has a CODA for a certain
issue. Agents’ opinions are private and invisible, that is, an
individual agent only knows its own opinion and cannot obtain
other agents’ opinions unless there is a social network connection
edge that allows their communication; agents’ actions are
public and visible to all agents and impact other agents’ actions.
Opinions and actions evolve in a directed social network. In the
limitation of the bounded confidence, other agents’ actions or
agents’ opinions noticed or obtained by network communication,
respectively, are used by agents to update their opinions. Based
on the SNOAE model, the evolution of the opinions and actions
with bounded confidence is investigated in social networks both
theoretically and experimentally with a detailed simulation analysis.
Theoretical research results show that discrete actions can
attract agents who trust the discrete action, and make agents to
express extreme opinions. Simulation experiments results show
that social network connection probability, bounded confidence,
and the opinion threshold of action choice parameters have strong
impacts on the evolution of opinions and actions. However, the number of agents in the social network has no obvious influence
on the evolution of opinions and actions.