DocumentCode :
2875334
Title :
How Much Similar Are Terrorists Networks of Istanbul?
Author :
Ozgul, Fatih ; Atzenbeck, Claus ; Erdem, Zeki
Author_Institution :
Fac. of Sci., Eng. & Technol., Univ. of Sunderland, Sunderland, UK
fYear :
2011
fDate :
25-27 July 2011
Firstpage :
468
Lastpage :
472
Abstract :
Most of terrorist groups cooperate, interchange knowledge, skills and materials used for attacks. Terrorist groups in Istanbul are categorized into three main groups within criminological viewpoint: extreme left (i.e. Marxist) groups, extreme right (i.e. Fundamentalist, Radical Islamist) groups, and separatist (i.e. ethnic, racist) groups. Crime ontology for terrorist groups in Istanbul is created by using their criminal history and choices such as selection of crimes, attacking methods and modus operandi. Terrorist groups of Istanbul are attached to this ontology as nodes connected to their attacks. A similarity measure (COSM) is developed according to this ontology. COSM results for Istanbul terrorist groups performed better than two common similarity measures, cosine and Jaccard. COSM similarity result is presented to domain experts in hierarchical clustering and they gave positive feedback. COSM, which is based on attributes of crimes, can also be applied to other types of social networks for measuring similarity.
Keywords :
ontologies (artificial intelligence); security of data; social networking (online); terrorism; Istanbul terrorist group; attacking method; crime ontology; criminal history; criminological viewpoint; hierarchical clustering; social network; terrorist network; Law; Materials; Measurement; Ontologies; Social network services; Terrorism; Terrorist networks; ontology; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
Type :
conf
DOI :
10.1109/ASONAM.2011.94
Filename :
5992616
Link To Document :
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