Identifying Terrorist Affiliations through Social Network Analysis: Using Data Mining Techniques - Couverture souple

Ali, Govand

 
9783659932243: Identifying Terrorist Affiliations through Social Network Analysis: Using Data Mining Techniques
Couverture souple
ISBN 10 : 3659932248 ISBN 13 : 9783659932243
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

In a world in which, since the fall of Twin Towers in New York on 9/11/2001, local ideologically inspired warfare becomes global all too quickly, terrorist groups like Al Quaeda and ISIS (Daesh) have successfully used modern computing technology and social networking environments to disperse their message, recruit new members, and plot attacks. This is especially true for such platforms as Twitter and encrypted mobile apps like Telegram or the clandestine Alrawi. As early detection of such activity is crucial to attack prevention data mining techniques have become increasingly important in the fight against the spread of global terrorist activity.This study employs data mining tools to mine Twitter for terrorist ‘organizing’ vocabulary and to pinpoint, through the analysis of (admittedly spares) tweet metadata, the most likely geographical location and connected identities behind the user accounts from which organizing or post-event information is disseminated.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659932248
ISBN 13 
9783659932243
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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