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

Language: English

Published by LAP LAMBERT Academic Publishing, 2016

3659932248 / 9783659932243

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9783659932243

Title
Identifying Terrorist Affiliations through Social Network Analysis : Using Data Mining Techniques
Author
Govand Ali
Publisher
LAP LAMBERT Academic Publishing
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659932248
ISBN 13
9783659932243
Item weight
167 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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