Hiding in plain sight: Criminal network analysis

Computational and Mathematical Organization Theory

Volumn 16, Issue 1, 2010, Pages 89-111

  Hutchins, Christopher E ^a   Benham Hutchins, Marge ^b  

^a North Texas High Intensity Drug Trafficking Area (NTHIDTA)   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Criminal network analysis; Dynamic network analysis; HIDTASIS; Law enforcement; ORA; Social network analysis

Indexed keywords

ADAPTIVE METHODS; CRIMINAL NETWORKS; DYNAMIC NETWORK ANALYSIS; HIDTASIS; INTELLIGENCE ANALYSIS; INTELLIGENCE ANALYSTS; NETWORK ANALYSIS SOFTWARES; ORA;

COMPLEX NETWORKS; LAW ENFORCEMENT; SOCIAL NETWORKING (ONLINE); SOCIETIES AND INSTITUTIONS;

CRIME;

EID: 77955306907     PISSN: 1381298X     EISSN: 15729346     Source Type: Journal    
DOI: 10.1007/s10588-009-9060-8     Document Type: Article

References (16)

1. Boissevain J (1974) Friends of friends: networks, manipulators and coalitions. Blackwell & Mott, Bristol.
2. Carley K, Reminga J (2004) ORA: organization risk analyzer (Technical Report No. CMU-ISRI-04-106). Carnegie Mellon University, School of Computer Science, Pittsburgh.
3. Carley KM, Diesner J, Reminga J, Tsvetovat M (2007) Toward an interoperable dynamic network analysis toolkit. Decis Support Syst 43(4): 1324-1347.
4. Coles N (2001) It's not what you know it's who you know that counts. Analyzing serious crime groups as social networks. Br J Criminol 41(4): 580.
5. Diesner J, Carley K (2004) AutoMap 1. 2-Extract, analyze, represent, and compare mental models from texts. (No. CMU-ISRI-04-100). Carnegie Mellon University, School of Computer Science, Institute for Software Research International, Pittsburg.
6. Diesner J, Carley K (2005) Revealing social structure from text: meta-matrix text analysis as a novel method for network text analysis. In: Narayanan VK, Armstrong DJ (eds) Causal semantic networking for information systems and technology research: approaches, advances, and illustrations. Idea Group, Harrisburg, pp 81-108.
7. Diesner J, Carley K (2008) Conditional random fields for entity extraction and ontological text coding. Comput Math Organ Theory 14: 248-262.
8. Innes M, Fielding N, Cope N (2005) "The appliance of science"? The theory and practice of crime intelligence analysis. Br J Criminol 45(1): 39-57.
9. Klerks P (2001) The network paradigm applied to criminal organizations: theoretical, nitpicking, or a relevant doctrine for investigators? Recent developments from the Netherlands. Connections 24(3): 53-65.
10. McGloin J (2005) Street gangs and interventions: innovative problem solving with network analysis. Department of Justice, Office of Community Oriented Policing Services, Washington.
11. Ozgul F, Bondy J, Aksoy H (2007) Mining for offender group detection and story of a police operation. Paper presented at the Proceedings of the sixth Australasian conference on data mining and analytics - Vol 70. From http://portal. acm. org/citation. cfm?id=1378245. 1378270#.
12. Ressler S (2006) Social network analysis as an approach to combat terrorism: past, present, and future research. Homel Secur Aff 2(2): 1-10.
13. Stewart TA (2001) Six degrees of Mohamed Atta. Business 2. 0 2(10): 63.
14. Williams P (2001) Transnational criminal networks. In: Arquilla J, Ronfeldt D (eds) Networks and netwars: the future of terror, crime, and militancy. Rand, Santa Monica, pp 61-97.
15. Xu J, Chen H (2005) Criminal network analysis and visualization. Commun ACM 48(6): 100.
16. Xu JJ, Hsinchun C (2005) CrimeNet explorer: a framework for criminal network knowledge discovery. ACM Trans Inf Syst 23(2): 201.