A new approach to analyzing coevolving longitudinal networks in international relations. (May 2016)

• Record Type: Journal Article
• Authors: Minhas, Shahryar; Hoff, Peter D; Ward, Michael D
• Other Names: Dorussen Han guest-editor.; Gartzke Erik guest-editor.; Westerwinter Oliver guest-editor.
• Is Part Of: Journal of peace research. Volume 53:Number 3(2016:May)
• Page Start: 491
• Page End: 505
• Publication Date: 2016-05
• Subjects: dynamic networks -- event data -- international crises -- tensor products -- time series; Peace -- Periodicals; Conflict management -- Periodicals; International relations -- Periodicals; 327.17205
• DOI: 10.1177/0022343316630783
• Languages: English
• ISSNs: 0022-3433

Abstract

Previous models of international conflict have suffered two shortfalls. They tend not to embody dynamic changes, focusing rather on static slices of behavior over time across a single relational dimension. These models have also been empirically evaluated in ways that assumed the independence of each country, when in reality they are searching for the interdependence among all countries. A number of approaches are available now for analyzing relational data such as international conflict in a network context and a number of these can even handle longitudinal relational data, but none are developed to the point of exploring how networks can coevolve over time. We illustrate a solution to the limitations of existing approaches and apply this novel, dynamic, network based approach to study the dependencies among the ebb and flow of daily international interactions using a newly developed, and openly available, database of events among nations.