Identifying Terrorist Affiliations through Social Network Analysis

Name: Identifying Terrorist Affiliations through Social Network Analysis
Brand: LAP Lambert Academic Publishing
SKU: 9783659932243
Price: 238.87 RON
Availability: InStock

Using Data Mining Techniques

Autor: Govand Ali

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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In a world in which, since the fall of Twin Towers in New York on 9/11/2001, local ideologically ins...

Informații despre carte

Autor

Govand Ali

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

100

EAN

9783659932243

Enbook ID

15200352

Editura

LAP Lambert Academic Publishing

Greutate

167

Dimensiuni

150 x 220 x 6

Descriere completă

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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Identifying Terrorist Affiliations through Social Network Analysis

Using Data Mining Techniques

Informații despre carte

Descriere completă

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