Part of a large scale research project to test various theories with regard to their ability to analyze international relations, this monograph presents data on the application of distance theory to patterns of cooperation among nations. Distance theory implies that international relations systems (nations, organizations, individuals, etc.) can be located in a multidimensional field and compared to other systems with regard to interaction and value variables. Comparison is measured in terms of distance above or below a given system with regard to scores on the same variables. In this monograph, distance theory was applied to a single index--World Event Information Survey (WEIS) conflict data, which was created using the "New York Times" as a data source. Variables of particular interest included domestic violence, economic development, political stability, population density, duration of national independence, colonial experience, military power, power base, and health conditions. All of the independent variables treated are factors--that is, composite indexes generated out of a number of related variables using the technique of factor analysis. The method involved when applying distance theory to cooperation/conflict data included assigning a negative or positive parameter weight to each nation on each predictive factor (economic development, etc.) which indicated the kind of behavioral exportation engaged in by that state relative to other states: comparing positive and negative type nations in terms of similarity of model and attribute type; and correlating various factor scores. The computer printout of the statistical analysis (second stage factor analysis) which is included in the document, shows characteristics of negative and positive weight nations and indicates how conflict export patterns cluster. (Author/DB)