Krahasoni metodat

	Conflict Diffusion Analysis	Dyadic Conflict Analysis
Fusha	International Relations	International Relations
Familja	Regression model	Process / pipeline
Viti i origjinës	2008	1992
Krijuesi	Conflict-diffusion literature (e.g., Most & Starr; Halvard Buhaug & Kristian Skrede Gleditsch)	Stuart A. Bremer (and the Correlates of War dyadic tradition)
Lloji	Spatial-temporal analysis of conflict contagion	Observational research design for interstate conflict
Burimi themelues	Buhaug, H., & Gleditsch, K. S. (2008). Contagion or confusion? Why conflicts cluster in space. International Studies Quarterly, 52(2), 215–233.	Bremer, S. A. (1992). Dangerous dyads: Conditions affecting the likelihood of interstate war, 1816–1965. Journal of Conflict Resolution, 36(2), 309–341.
Emërtime të tjera	Conflict Contagion Analysis, Conflict Spillover Analysis, Spatial Diffusion of War, Conflict Spread Modeling	Dyad-Year Analysis, Dyadic Design in Conflict Studies, Dangerous Dyads Analysis, Pairwise Interstate Conflict Analysis
Të lidhura	3	3
Përmbledhja	Conflict 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.	Dyadic conflict analysis is the dominant research design in quantitative conflict studies: it treats the pair of states (the dyad), observed year by year, as the unit of analysis and models the probability that a pair experiences militarized conflict as a function of their joint and individual attributes. Stuart Bremer's 'Dangerous Dyads' (1992) is the canonical statement, identifying which conditions — contiguity, the absence of alliance, power parity, the absence of joint democracy, and others — make a pair of states war-prone. The design aligns conflict data with the relational theories that dominate the field.