Bayesian Geographical Profiling in Terrorism Revealing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00103782" target="_blank" >RIV/00216224:14310/18:00103782 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.czso.cz/documents/10180/61266313/32019718q3295.pdf/7a711671-aa80-4536-be96-12c7a183a1f8?version=1.0" target="_blank" >https://www.czso.cz/documents/10180/61266313/32019718q3295.pdf/7a711671-aa80-4536-be96-12c7a183a1f8?version=1.0</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Bayesian Geographical Profiling in Terrorism Revealing

Popis výsledku v původním jazyce

A significant part of research in terrorism studies focuses on the analysis of terrorist groups. An important issue for this type of research is that a large number of attacks are not attributed to a specific group. As an appropriate approach to solve the problem of attributing group responsibility we applied the geographic profiling theory. We analyzed several terrorist organizations which typically commit attacks far away from their headquarters. We proposed an innovative method based on Bayesian approach to find the organization’s base and to attribute responsibility to perpetrators of terrorist attacks. We compared the results with classical techniques used in criminology. The real data analysis shows rationale for the proposed approach. Analyzed data comes from the Global Terrorism Database which is currently the most extensive database on terrorism ever collected.

Název v anglickém jazyce

Bayesian Geographical Profiling in Terrorism Revealing

Popis výsledku anglicky

A significant part of research in terrorism studies focuses on the analysis of terrorist groups. An important issue for this type of research is that a large number of attacks are not attributed to a specific group. As an appropriate approach to solve the problem of attributing group responsibility we applied the geographic profiling theory. We analyzed several terrorist organizations which typically commit attacks far away from their headquarters. We proposed an innovative method based on Bayesian approach to find the organization’s base and to attribute responsibility to perpetrators of terrorist attacks. We compared the results with classical techniques used in criminology. The real data analysis shows rationale for the proposed approach. Analyzed data comes from the Global Terrorism Database which is currently the most extensive database on terrorism ever collected.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

STATISTIKA-STATISTICS AND ECONOMY JOURNAL

ISSN

0322-788X

e-ISSN

1804-8765

Svazek periodika

98

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

295-305

Kód UT WoS článku

000445278600006

EID výsledku v databázi Scopus

2-s2.0-85057957888