Visual investigation of similarities in global terrorism database by means of synthetic social networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085145" target="_blank" >RIV/61989100:27240/11:86085145 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19520/11:#0002012
Result on the web
<a href="http://dx.doi.org/10.1109/CASON.2011.6085954" target="_blank" >http://dx.doi.org/10.1109/CASON.2011.6085954</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CASON.2011.6085954" target="_blank" >10.1109/CASON.2011.6085954</a>
Alternative languages
Result language
angličtina
Original language name
Visual investigation of similarities in global terrorism database by means of synthetic social networks
Original language description
During the last years, terrorist attacks over the world no longer can be considered as only sporadic accidents. This topic became an important problem and is solved as a global threat across several scientific disciplines. Terrorist attacks have been practiced by a wide array of organizations or groups for achieving their objectives. We can include political parties, nationalistic and religious groups, revolutionaries, ruling governments or others. Due to this fact the need of observing and discoveringrelations and rules of behavior based on terrorism incidents becomes very important. The authors of the paper present the usage of clustering methods and association rule mining methods for discovering and representation of potentially interesting similarities in the data. The purpose of the paper is to model synthetic social network based on relations obtained from the data about terroristic incidents to facilitate visual investigation of similarities in data and to study the network ev
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2011 International Conference on Computational Aspects of Social Networks, CASoN 2011
ISBN
978-1-4577-1131-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
255-260
Publisher name
IEEE
Place of publication
New York
Event location
Salamanca
Event date
Oct 19, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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