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On Graphs with Bounded and Unbounded Convergence Times in Social Hegselmann-Krause Dynamics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We address the problem of identifying physical connectivity graphs that guarantee a finite upper bound on the time required for the associated social Hegselmann-Krause dynamics to ϵ-converge to the steady state. We handle the cases of consensus as well as non-consensus steady states, and for each case, we provide sufficient conditions for a physical connectivity graph to have unbounded ϵ-convergence time. We then show that every complete r-partite graph on n vertices has a finite maximum ϵ-convergence time, regardless of the values of r and n. Finally, we show that enhancing the connectivity of agents may not always speed up convergence to the steady state, even when the steady state is a consensus.

Original languageEnglish (US)
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6431-6436
Number of pages6
ISBN (Electronic)9781728113982
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France
Duration: Dec 11 2019Dec 13 2019

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2019-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference58th IEEE Conference on Decision and Control, CDC 2019
Country/TerritoryFrance
CityNice
Period12/11/1912/13/19

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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