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Title:Segregation dynamics driven by network leaders
Authors:ID Wang, Wen-Xuan (Author)
ID Feng, Yuhao (Author)
ID Chen, Siru (Author)
ID Xu, Wenzhe (Author)
ID Zhuo, Xinjian (Author)
ID Li, Huijia (Author)
ID Perc, Matjaž (Author)
Files:.pdf Wang-2022-Segregation_dynamics_driven_by_netwo.pdf (3,18 MB)
MD5: 6623256AC8809F43EF9DCFA3A8B248E2
 
URL https://doi.org/10.1088/1367-2630/ac65a7
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Network segregation - a critical problem in real-life networks - can reveal the emergence of conflicts or signal an impending collapse of the whole system. However, the strong heterogeneity of such networks and the various definitions for key nodes continue to pose challenges that limit our ability to foresee segregation and to determine the main drivers behind it. In this paper, we show that a multi-agent leader-follower consensus system can be utilized to define a new index, named leadership, to identify key leaders in real-life networks. And then, this paper explores the emergence of network segregation that is driven by these leaders based on the removal or the rewiring of the relations between different nodes in agreement with their contribution distance. We finally show that the observed leaders-driven segregation dynamics reveals the dynamics of heterogeneous attributes that critically influence network structure and its segregation. Thus, this paper provides a theoretical method to study complex social interactions and their roles in network segregation, which ultimately leads to a closed-form explanation for the emergence of imbalanced network structure from an evolutionary perspective.
Keywords:complex networks, network segregation, multi-agent leader–follower consensus system, key leaders identification, leader, segregation, social physics
Publication status:Published
Publication version:Version of Record
Submitted for review:18.01.2022
Article acceptance date:08.04.2022
Publication date:05.05.2022
Publisher:Institute of Physics Publishing, Deutsche Physikalische Gesellschaft
Year of publishing:2022
Number of pages:Str. 1-11
Numbering:Letn. 24, Št. 5, št. članka 053007
PID:20.500.12556/DKUM-88641 New window
UDC:53
ISSN on article:1367-2630
COBISS.SI-ID:106415619 New window
DOI:10.1088/1367-2630/ac65a7 New window
Publication date in DKUM:08.07.2024
Views:104
Downloads:7
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:New journal of physics
Publisher:Institute of Physics Publishing, Deutsche Physikalische Gesellschaft
ISSN:1367-2630
COBISS.SI-ID:21135621 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Funder:Other - Other funder or multiple funders
Funding programme:The National Natural Science Foundation of China
Project number:71871233

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:05.05.2022

Secondary language

Language:Slovenian
Keywords:kompleksna omrežja, segregacija omrežja, identifikacija ključnih voditeljev, voditelj, segregacija, fizika družbe


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