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Conflict Diffusion Analysis×UCDP Conflict Data Analysis×
분야International RelationsInternational Relations
계열Regression modelProcess / pipeline
기원 연도20082013
창시자Conflict-diffusion literature (e.g., Most & Starr; Halvard Buhaug & Kristian Skrede Gleditsch)Uppsala Conflict Data Program (Ralph Sundberg & Erik Melander for UCDP-GED)
유형Spatial-temporal analysis of conflict contagionCoding and analysis of organized-violence events and conflicts
원전Buhaug, H., & Gleditsch, K. S. (2008). Contagion or confusion? Why conflicts cluster in space. International Studies Quarterly, 52(2), 215–233. DOI ↗Sundberg, R., & Melander, E. (2013). Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research, 50(4), 523–532. DOI ↗
별칭Conflict Contagion Analysis, Conflict Spillover Analysis, Spatial Diffusion of War, Conflict Spread ModelingUCDP Analysis, UCDP Georeferenced Event Dataset Analysis, Uppsala Conflict Data Analysis, Organized Violence Event Analysis
관련33
요약Conflict diffusion analysis studies how conflict spreads from one place to another — across borders, between neighboring regions, over time. It addresses a sharp inferential challenge posed by Buhaug and Gleditsch (2008): conflicts cluster in space, but clustering can reflect either genuine contagion (a war next door actually raises your risk) or merely the fact that neighbors share war-prone conditions. Using spatial-temporal lags of neighboring conflict alongside covariates, and theorizing concrete transmission mechanisms such as refugee flows and transnational ethnic ties, the method tries to separate true diffusion from spurious co-location.UCDP conflict data analysis is the coding and quantitative study of organized violence using the datasets of the Uppsala Conflict Data Program. UCDP distinguishes three categories of organized violence — state-based armed conflict, non-state conflict, and one-sided violence against civilians — and codes them from the level of individual fatal events up to annual conflict dyads. The Georeferenced Event Dataset (UCDP-GED), introduced by Sundberg and Melander (2013), pins each event to a place and date, enabling fine-grained spatial and temporal analysis of where and when violence occurs.
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