Literature DB >> 32943664

Multilevel structural evaluation of signed directed social networks based on balance theory.

Samin Aref1, Ly Dinh2, Rezvaneh Rezapour3, Jana Diesner4.   

Abstract

Balance theory explains how network structural configurations relate to tension in social systems, which are commonly modeled as static undirected signed graphs. We expand this modeling approach by incorporating directionality of edges and considering three levels of analysis for balance assessment: triads, subgroups, and the whole network. For triad-level balance, we develop a new measure by utilizing semicycles that satisfy the condition of transitivity. For subgroup-level balance, we propose measures of cohesiveness (intra-group solidarity) and divisiveness (inter-group antagonism) to capture balance within and among subgroups. For network-level balance, we re-purpose the normalized line index to incorporate directionality and assess balance based on the proportion of edges whose position suits balance. Through comprehensive computational analyses, we quantify, analyze, and compare patterns of social structure in triads, subgroups, and the whole network across a range of social settings. We then apply our multilevel framework to examine balance in temporal and multilayer networks to demonstrates the generalizability of our approach. In most cases, we find relatively high balance across the three levels; providing another confirmation of balance theory. We also deliver empirical evidence for the argument that balance at different levels is not the same social phenomenon measured at different scales, but represents different properties (triadic balance, internal cohesion and external division of subgroups, and overall network polarization), and should therefore be evaluated independently from one another. We propose a comprehensive yet parsimonious approach to address this need.

Entities:  

Year:  2020        PMID: 32943664      PMCID: PMC7498592          DOI: 10.1038/s41598-020-71838-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  11 in total

1.  Structural balance: a generalization of Heider's theory.

Authors:  D CARTWRIGHT; F HARARY
Journal:  Psychol Rev       Date:  1956-09       Impact factor: 8.934

2.  Computing global structural balance in large-scale signed social networks.

Authors:  Giuseppe Facchetti; Giovanni Iacono; Claudio Altafini
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-13       Impact factor: 11.205

3.  Determining the distance to monotonicity of a biological network: a graph-theoretical approach.

Authors:  G Iacono; F Ramezani; N Soranzo; C Altafini
Journal:  IET Syst Biol       Date:  2010-05       Impact factor: 1.615

4.  Attitudes and cognitive organization.

Authors:  F HEIDER
Journal:  J Psychol       Date:  1946-01

5.  War and Peace: Possible Approaches to Reducing Intergroup Conflict.

Authors:  Taya R Cohen; Chester A Insko
Journal:  Perspect Psychol Sci       Date:  2008-03

6.  Local balancing influences global structure in social networks.

Authors:  Aravind Srinivasan
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-20       Impact factor: 11.205

7.  Detecting coalitions by optimally partitioning signed networks of political collaboration.

Authors:  Samin Aref; Zachary Neal
Journal:  Sci Rep       Date:  2020-01-30       Impact factor: 4.379

8.  Structural Effects of Network Sampling Coverage I: Nodes Missing at Random1.

Authors:  Jeffrey A Smith; James Moody
Journal:  Soc Networks       Date:  2013-10

9.  Statistical physics of balance theory.

Authors:  Andres M Belaza; Kevin Hoefman; Jan Ryckebusch; Aaron Bramson; Milan van den Heuvel; Koen Schoors
Journal:  PLoS One       Date:  2017-08-28       Impact factor: 3.240

10.  Are You Your Friends' Friend? Poor Perception of Friendship Ties Limits the Ability to Promote Behavioral Change.

Authors:  Abdullah Almaatouq; Laura Radaelli; Alex Pentland; Erez Shmueli
Journal:  PLoS One       Date:  2016-03-22       Impact factor: 3.240

View more
  1 in total

1.  Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance.

Authors:  Samin Aref; Zachary P Neal
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.