Application of Factor-Based Models in Intelligence Analysis

Computational social science is an emerging interdisciplinary approach to the study of social systems. Here we examine why testing the behavior of individuals and groups in social systems from an algorithmic point of view provides new and surprising analytical opportunities for the intelligence society and for the improvement of intelligence analysis methods. By using artificial communities, which are generally called factor-based models, intelligence analysts can improve their intelligence evaluations through the benefits of scientific principles of computer computing. The findings of the research show that factor-based modeling has been significantly used in the security- intelligence literature in such a way that the modeling of socialunrest, crisis, intelligence deception, and war are getting richer day by day