Literature DB >> 33664333

A signed network perspective on the government formation process in parliamentary democracies.

Angela Fontan1, Claudio Altafini2.   

Abstract

In parliamentary democracies, government negotiations talks following a general election can sometimes be a long and laborious process. In order to explain this phenomenon, in this paper we use structural balance theory to represent a multiparty parliament as a signed network, with edge signs representing alliances and rivalries among parties. We show that the notion of frustration, which quantifies the amount of "disorder" encoded in the signed graph, correlates very well with the duration of the government negotiation talks. For the 29 European countries considered in this study, the average correlation between frustration and government negotiation talks ranges between 0.42 and 0.69, depending on what information is included in the edges of the signed network. Dynamical models of collective decision-making over signed networks with varying frustration are proposed to explain this correlation.

Entities:  

Year:  2021        PMID: 33664333      PMCID: PMC7933210          DOI: 10.1038/s41598-021-84147-3

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


  4 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.  Effective leadership and decision-making in animal groups on the move.

Authors:  Iain D Couzin; Jens Krause; Nigel R Franks; Simon A Levin
Journal:  Nature       Date:  2005-02-03       Impact factor: 49.962

4.  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

  4 in total
  1 in total

1.  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

  1 in total

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