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Convergence of a Democratic System Controlled by Dynamic Social Networks
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Publication Year
2024-07-01
Publisher
Institute of Control, Robotics and Systems
Citation
International Journal of Control, Automation and Systems, Vol.22, pp.2055-2063
Keyword
Democracydiscrete event systemnetwork controlsocial network
Mesh Keyword
ConditionDemocracyDemocratic systemsDiscrete events systemsDynamic social networksFinite-state automataGraph theoreticsNetwork-controlProgressive systemsSocial network
All Science Classification Codes (ASJC)
Control and Systems EngineeringComputer Science Applications
Abstract
This paper presents some graph-theoretic conditions for a democratic system controlled by a social network to converge to a regressive or progressive system over time. The democratic system is modeled as a finite state automaton, and a social network of agents is modeled as a directed graph. Agents are controllers making decisions to enable or disable events such that their objectives are to be met. Based on the individual decisions of agents, the final decision is made by the majority rule. Specifically, the conditions obtained imply two strategies for the groups of regressive or progressive agents to achieve their objectives: one is to prevent informed agents in other groups from influencing uninformed agents, and the other is to make at least one uninformed agent in every cycle follow the decisions of the group.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34240
DOI
https://doi.org/10.1007/s12555-023-0515-3
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (no. RS-2023-00242022).
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Park, Seong-Jin Image
Park, Seong-Jin박성진
Department of Electrical and Computer Engineering
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