Title
Noise-induced Synchronization of Hegselmann-Krause Dynamics in Full Space
Abstract
The Hegselmann-Krause (HK) model is a typical self-organizing system with local rule dynamics. In spite of its widespread use and numerous extensions, the underlying theory of its synchronization induced by noise still needs to be developed. In its original formulation, as a model first proposed to address opinion dynamics, its state-space was assumed to be bounded, and the theoretical analysis of noise-induced synchronization for this particular situation has been well established. However, when system states are allowed to exist in an unbounded space, mathematical difficulties arise whose theoretical analysis becomes non-trivial and is as such still lacking. In this paper, we completely resolve this problem by exploring the topological properties of HK dynamics and by employing the theory of independent stopping time. The associated result in full statespace provides a solid interpretation of the randomness-induced synchronization of self-organizing systems
Year
DOI
Venue
2019
10.1109/tac.2018.2885090
IEEE Transactions on Automatic Control
Keywords
Field
DocType
Full space,Hegselmann–Krause (HK) dynamics,noise-induced synchronization,self-organizing systems
Topology,Synchronization,Control theory,Opinion dynamics,Stopping time,Spite,Mathematics,Bounded function
Journal
Volume
Issue
ISSN
64
9
0018-9286
Citations 
PageRank 
References 
2
0.38
9
Authors
4
Name
Order
Citations
PageRank
Wei Su1114.69
Jin Guo28310.43
Xian Zhong Chen343.47
Ge Chen4227.36