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结构均衡与人际评价动态:超越完全图和二分符号网络
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   2022-7-12

Structural balance theory characterizes stable configurations of signed interpersonal appraisal networks. Existing models explaining the convergence of appraisal networks to structural balance either diverge in finite time, or could get stuck in jammed states, or converge to only complete graphs. In this paper, we study the open problem of how non-complete appraisal networks converge to structural balance while their graph topologies remain unchanged. Firstly, we present two established definitions of structural balance: the local balance and the global balance, which are equivalent in complete graphs but not in graphs with arbitrary topologies. The notion of local balance is characterized as “Friends’ friends are not enemies; Friends’ enemies are not friends; Enemies’ friends are not friends; Enemies’ enemies are not enemies.”, which is a straightforward generalization of the famous Heider’s axioms in structural balance theory. On the other hand, the global balance, widely adopted in the modeling of opinion dynamics, means that the appraisal network can be divided into two antagonistic factions. We propose two mechanisms: the symmetry-influence-homophily (SIH) dynamics and the symmetry-influence-opinion-homophily (SIOH) dynamics, in which the appraisal networks almost surely achieve the local balance (for certain initial conditions) and the global balance (for any initial condition) in finite time respectively. Along these dynamics, the connection patterns of the appraisal networks remain unchanged and thereby avoid evolving into complete graphs. Furthermore, we provide certain graph-theoretical conditions on which the local balance is equivalent to the global balance. In addition, numerical studies of our dynamics indicate some insightful take-home messages, e.g., whether multilateral relations reduce or exacerbate conflicts. 
     
Publication:  
Automatica, Volume 140, June 2022

 

Author:   
Wenjun Mei
Department of Mechanics and Engineering Science, Peking University, Beijing, China
Automatic Control Laboratory, ETH Zurich, Switzerland
Email: mei@pku.edu.cn
   
Ge Chen
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China
Email: chenge@amss.ac.cn 
   
Noah E. Friedkin
Department of Sociology, University of California, Santa Barbara, United States of America
Email: friedkin@soc.ucsb.edu 
   
Florian D?rfler
Automatic Control Laboratory, ETH Zurich, Switzerland
Email: dorfler@ethz.ch 
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