Graph-based technologies for intelligence analysis

ABSTRACT

Enhancing traditional algorithmic techniques for improved pattern analysis.

REFERENCES

• 1: Baker, W.E. and Faulkner, R.R. The social organization of conspiracy: Illegal networks in the heavy electrical equipment industry. American Sociological Review 58, 6 (Dec. 1993), 837--860.
• 2: Coffman, T. and Marcus, S. Pattern classification in social network analysis: A case study. In Proceedings of the 2004 IEEE Aerospace Conference (Big Sky, MT, Mar. 2004).
• 3: Coffman, T. and Marcus, S. Dynamic classification of groups using social network analysis and HMMs. In Proceedings of the 2004 IEEE Aerospace Conference (Big Sky, MT, Mar. 2004).
• 4: Heuer, R.J. Psychology of Intelligence Analysis. Center for the Study of Intelligence, Central Intelligence Agency, 2001.
• 5: David Jensen , Matthew Rattigan , Hannah Blau, Information awareness: a prospective technical assessment, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2003, Washington, D.C. [doi>10.1145/956750.956794]
• 6: Krebs, V. Mapping networks of terrorist cells. Connections 24, 3 (Winter 2001), 43--52.
• 7: Thomason, B., Coffman, T., and Marcus, S. Sensitivity of social network analysis metrics to observation noise. In Proceedings of the 2004 IEEE Aerospace Conference (Big Sky, MT, Mar. 2004).
• 8: J. R. Ullmann, An Algorithm for Subgraph Isomorphism, Journal of the ACM (JACM), v.23 n.1, p.31-42, Jan. 1976 [doi>10.1145/321921.321925]

INDEX TERMS

Primary Classification:
  D. Software
  D.4 OPERATING SYSTEMS
      D.4.6 Security and Protection

Additional Classification:
  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.1 Public Policy Issues
      K.4.2 Social Issues