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Networked international politics: Complex interdependence and the diffusion of conflict and peace
Journal
Journal of Peace Research
ISSN
0022-3433
ISSN-Digital
1460-3578
Type
journal article
Date Issued
2016-03-14
Author(s)
Abstract
Network theory and methods are becoming increasingly used to study the causes and consequences of conflict. Network analysis allows researchers to develop a better understanding of the causal dynamics and structural geometry of the complex web of interdependencies at work in the onset, incidence, and diffusion of conflict and peace. This issue features new theoretical and empirical research demonstrating how properly accounting for networked interdependencies
has profound implications for our understanding of the processes thought to be responsible for the conflict behavior of state and non-state actors. The contributors examine the variation in networks of states and transnational actors to explain outcomes related to international conflict and peace. They highlight how networked
interdependencies affect conflict and cooperation in a broad range of areas at the center of international Relations scholarship. It is helpful to distinguish between three uses of networks, namely: (1) as theoretical tools, (2) as measurement tools, and (3) as inferential tools. The introduction discusses each of these uses and shows how the
contributions rely on one or several of them. Next, Monte Carlo simulations are used to illustrate one of the strengths of network analysis, namely that it helps researchers avoid biased inferences when the data generating process underlying the observed data contains extradyadic interdependencies.
has profound implications for our understanding of the processes thought to be responsible for the conflict behavior of state and non-state actors. The contributors examine the variation in networks of states and transnational actors to explain outcomes related to international conflict and peace. They highlight how networked
interdependencies affect conflict and cooperation in a broad range of areas at the center of international Relations scholarship. It is helpful to distinguish between three uses of networks, namely: (1) as theoretical tools, (2) as measurement tools, and (3) as inferential tools. The introduction discusses each of these uses and shows how the
contributions rely on one or several of them. Next, Monte Carlo simulations are used to illustrate one of the strengths of network analysis, namely that it helps researchers avoid biased inferences when the data generating process underlying the observed data contains extradyadic interdependencies.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Global Democratic Governance
Publisher
SAGE Publ.
Publisher place
London [u.a.]
Volume
53
Number
3
Start page
283
End page
291
Subject(s)
Division(s)
Eprints ID
248605