Acta academica karviniensia 2013, 13(3):56-68 | DOI: 10.25142/aak.2013.042

BUILDING SYNTHETIC SOCIAL NETWORKS USING ASSOCIATION RULES AND CLUSTERING METHODS: CASE STUDY ON GLOBAL TERRORISM DATABASE

Jan Górecki1, Kateřina Slaninová2
1 Slezská univerzita, Obchodně podnikatelská fakulta, Univerzitní nám. 1934/3, 733 40 Karviná, Email:gorecki@opf.slu.cz
2 Slezská univerzita, Obchodně podnikatelská fakulta, Univerzitní nám. 1934/3, 733 40 Karviná, Email: slaninova@opf.slu.cz

The authors of the paper present an approach for datamining methods combination (method for association rules extraction and clustering method are combined) which is used for synthetic social networks construction which afterwards represents potentially interesting relations in analyzed data. Described approach is feasible for general data, principles of described approach, examples and experiments are illustrated on a part of unique database, which contain data about terroristic attack committed on all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.

Keywords: association rules, community analysis, graph visualization, synthetic social network
JEL classification: C38, Z00

Received: June 22, 2012; Accepted: June 19, 2013; Published: September 30, 2013  Show citation

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Górecki J, Slaninová K. BUILDING SYNTHETIC SOCIAL NETWORKS USING ASSOCIATION RULES AND CLUSTERING METHODS: CASE STUDY ON GLOBAL TERRORISM DATABASE. Acta academica karviniensia. 2013;13(3):56-68. doi: 10.25142/aak.2013.042.
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