Diesner, J., & Carley, K.M. (2004). Using Network Text Analysis to Detect the Organizational Structure of Covert Networks. In Proc of the North American Association for Computational Social and Organizational Science (NAACSOS) 2004 Conference, Pittsburgh, PA. [.pdf (289 KB)]
Herein we demonstrate how to get from sets of texts to network representations of covert networks represented in texts. We report on the application of a computer-supported technique that combines network analysis of texts with classifying social and organizational systems into an ontology called the meta-matrix model. The resulting combinatory method is referred to as Meta-Matrix Text Analysis. We apply this technique to detect the social and organizational structure of a Mideastern country. Social agents covered in our coding are people and organizations identified by human subject matter experts to be relevant to intelligence matters in that area.