Antigovernment networks in civil conflicts: how network structures affect conflictual behavior

Nils W. Metternich, Cassy Dorff, Max Gallop, Simon Weschle, Michael D. Ward

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

In this article, we combine a game-theoretic treatment of public goods provision in networks with a statistical network analysis to show that fragmented opposition network structures lead to an increase in conflictual actions. Current literature concentrates on the dyadic relationship between the government and potential challengers. We shift the focus toward exploring how network structures affect the strategic behavior of political actors. We derive and examine testable hypotheses and use latent space analysis to infer actors’ positions vis-à-vis each other in the network. Network structure is examined and used to test our hypotheses with data on conflicts in Thailand from 2001 to 2010. We show the influential role of network structure in generating conflictual behavior.
LanguageEnglish
Pages892-911
Number of pages20
JournalAmerican Journal of Political Science
Volume57
Issue number4
Early online date28 May 2013
DOIs
Publication statusPublished - 31 Oct 2013

Fingerprint

political actor
network analysis
Thailand
opposition
literature

Keywords

  • game-theoretic approach
  • game theory
  • public goods provision
  • conflictual actions
  • dyadic
  • network structure
  • conflicts
  • Thailand
  • antigoverment networks

Cite this

Metternich, Nils W. ; Dorff, Cassy ; Gallop, Max ; Weschle, Simon ; Ward, Michael D. / Antigovernment networks in civil conflicts : how network structures affect conflictual behavior. In: American Journal of Political Science. 2013 ; Vol. 57, No. 4. pp. 892-911.
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Antigovernment networks in civil conflicts : how network structures affect conflictual behavior. / Metternich, Nils W.; Dorff, Cassy ; Gallop, Max; Weschle, Simon; Ward, Michael D.

In: American Journal of Political Science, Vol. 57, No. 4, 31.10.2013, p. 892-911.

Research output: Contribution to journalArticle

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