Computational social science and intelligence analysis. Issue 5 (29th July 2017)

• Record Type: Journal Article
• Authors: Frank, Aaron
• Is Part Of: Intelligence and national security. Volume 32:Issue 5(2017)
• Page Start: 579
• Page End: 599
• Publication Date: 2017-07-29
• Subjects: Espionage -- Periodicals; Intelligence service -- Periodicals; National security -- Periodicals; 327.12
• DOI: 10.1080/02684527.2017.1310968
• Languages: English
• ISSNs: 0268-4527

Abstract

Abstract: Computational Social Science (CSS) is an emerging, interdisciplinary approach to the study of social systems. This chapter provides readers with an introduction to CSS, and discusses why examining the behavior of individuals and groups in social systems from an algorithmic perspective provides new and exciting analytic opportunities for the Intelligence Community and analytic tradecraft. Through the use of artificial societies, commonly referred to as Agent-Based Models (ABMs), intelligence analysts can improve strategic intelligence assessments by capitalizing on the scientific and tradecraft merits of computational simulation.