Part of a large scale research project to test various theories with regard to their ability to analyze international relations, this computer printout presents data on the application of social field theory to patterns of cooperation among nations. Social field theory implies that international relations can be interpreted as all the attributes and interactions of nations and their complex interrelationships, can be analytically divided into attributes and behavior, and exhibits dyad formations (interactions between two nations) in matters of behavior. The monograph is presented in four major sections. Section I provides a table of contents of all monographs included in the study. Section II explains the types of analysis presented in the monograph-discriminant function analysis of 'topdog' and 'underdog' behavior among nations in the international system (consideration of which variables best explain discrimination between scores of two nation groups on common variables) and correlation of independent variable scores among nations with the magnitude of positive ('topdog') versus the negative ('underdog') weight behavior. Potential policy implications of findings are also briefly discussed. Section III, the bulk of the document, presents an inventory of findings for cooperation among nations using social field theory. Findings included that nations that tend to export high cooperation to less economically developed nations are generally not very well developed economically themselves and tend to have few political elections, nations that have become recently independent and that exhibit a high degree of cooperation with other nations tend to exhibit characteristics of high economic development and a large population growth rate, and nations which have a high degree of cooperation with more economically developed nations tend to exhibit characteristics of relatively high economic development and many political elections. Section IV provides a bibliography of international relations and statistical analysis works. (DB)