Conflict Diffusion Analysis

It is the core inferential challenge of diffusion analysis: conflicts cluster in space, but this can arise either because conflict genuinely spreads from one place to another (contagion) or because neighboring units happen to share the same conflict-promoting conditions (confusion / shared attributes). Buhaug and Gleditsch named the problem and showed that distinguishing the two requires controlling for shared conditions and identifying actual transmission channels, rather than reading clustering as proof of spread.

Spatial conflict analysis is the broader toolkit for modeling any spatial dependence in conflict, including dependence that stems from shared context (spatial error) or clustering of covariates. Conflict diffusion analysis focuses specifically on the causal spread of conflict between units over time — using temporal lags of neighbor conflict and theorized mechanisms — and on separating that spread from mere co-location. Diffusion is one substantive interpretation that spatial methods must be used carefully to identify.

Commonly cited channels include refugee flows that destabilize host areas, cross-border movement of arms and fighters, transnational ethnic kin who are drawn into a neighbor's conflict, and demonstration or learning effects that lower the perceived cost of rebellion. Buhaug and Gleditsch found transnational ethnic linkages especially important and contagion concentrated in separatist conflicts, underscoring that diffusion is mechanism-specific rather than a uniform neighborhood effect.