Paper Info
Title
Continuous time opinion dynamics of agents with multi-leveled opinions and binary actions.
Abstract
This paper proposes and analyzes a stochastic multi agent opinion dynamics model. We are interested in a multi-leveled opinion of each agent which is randomly influenced by the binary actions of its neighbors. It is shown that, as far as the number of agents in the network is finite, the model asymptotically produces consensus. The consensus value corresponds to one of the absorbing states of the associated Markov system. However, when the number of agents is large, we emphasize that partial agreements are reached and these transient states are metastable, i.e., the expected persistence duration is arbitrarily large. These states are characterized using an N-intertwined mean field approximation (NIMFA) for the Markov system. Numerical simulations validate the proposed analysis.
Year
Venue
Keywords
2018
IEEE INFOCOM
Opinion dynamics,Social computing and networks,Markov chains,agent based models
Field
DocType
ISSN
Statistical physics,Markov process,Computer science,Markov chain,Mean field theory,Opinion dynamics,Arbitrarily large,Binary number,Distributed computing
Conference
0743-166X
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Vineeth S. Varma13014.31
irinelconstantin morarescu29119.72
yezekael hayel338650.48