A presentation from June 2013 by the Director of Analysis at the Defense Intelligence Agency covering topics related to object based production and activity based intelligence.
This is a working paper for an ongoing SNA Tool Comparison effort at the Counter-IED Operations/Intelligence Center’s (COIC) Data Analysis Research and Collaboration (DAR C) Cell. It contains the results of the first phase of this effort. A Power Point presentation summarizing this paper is also available. This paper will be edited and amended as additional results become available from subsequent phases. The objective of this study was to compare and analyze four different Social Network Analysis (SNA) tools for the basic measures of Centrality (Degree, Closeness, Betweenness and Eigenvector), in order to set a baseline for further evaluation of the tools and their capabilities. The four tools compared were Analyst Notebook (ANB), Palantir, UCINet and ORA.
More than 60 years ago, in his “Foundation” series, the science fiction novelist Isaac Asimov invented a new science — psychohistory — that combined mathematics and psychology to predict the future. Now social scientists are trying to mine the vast resources of the Internet — Web searches and Twitter messages, Facebook and blog posts, the digital location trails generated by billions of cellphones — to do the same thing. The most optimistic researchers believe that these storehouses of “big data” will for the first time reveal sociological laws of human behavior — enabling them to predict political crises, revolutions and other forms of social and economic instability, just as physicists and chemists can predict natural phenomena.
DHS Human Factors/Behavioral Sciences Division presentation on social network analysis, behavioral threat detection and biometrics programs as of May 2009.