Literature DB >> 25375544

Walk-based measure of balance in signed networks: detecting lack of balance in social networks.

Ernesto Estrada1, Michele Benzi2.   

Abstract

There is a longstanding belief that in social networks with simultaneous friendly and hostile interactions (signed networks) there is a general tendency to a global balance. Balance represents a state of the network with a lack of contentious situations. Here we introduce a method to quantify the degree of balance of any signed (social) network. It accounts for the contribution of all signed cycles in the network and gives, in agreement with empirical evidence, more weight to the shorter cycles than to the longer ones. We found that, contrary to what is generally believed, many signed social networks, in particular very large directed online social networks, are in general very poorly balanced. We also show that unbalanced states can be changed by tuning the weights of the social interactions among the agents in the network.

Year:  2014        PMID: 25375544     DOI: 10.1103/PhysRevE.90.042802

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

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

Authors:  Samin Aref; Ly Dinh; Rezvaneh Rezapour; Jana Diesner
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

2.  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

3.  The structure balance of gene-gene networks beyond pairwise interactions.

Authors:  Nastaran Allahyari; Amir Kargaran; Ali Hosseiny; G R Jafari
Journal:  PLoS One       Date:  2022-03-30       Impact factor: 3.240

4.  The structure of plant spatial association networks is linked to plant diversity in global drylands.

Authors:  Hugo Saiz; Jesús Gómez-Gardeñes; Juan Pablo Borda; Fernando T Maestre
Journal:  J Ecol       Date:  2018-01-20       Impact factor: 6.256

5.  Loss of structural balance in stock markets.

Authors:  Eva Ferreira; Susan Orbe; Jone Ascorbebeitia; Brais Álvarez Pereira; Ernesto Estrada
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

6.  Empirical social triad statistics can be explained with dyadic homophylic interactions.

Authors:  Tuan Minh Pham; Jan Korbel; Rudolf Hanel; Stefan Thurner
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-08       Impact factor: 11.205

  6 in total

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