Bayesian Geographical Profiling in Terrorism Revealing

J 2018

Bayesian Geographical Profiling in Terrorism Revealing

SVOBODOVÁ, Jana a Jan KOLÁČEK

Základní údaje

Originální název

Bayesian Geographical Profiling in Terrorism Revealing

Autoři

SVOBODOVÁ, Jana (203 Česká republika, garant, domácí) a Jan KOLÁČEK (203 Česká republika, domácí)

Vydání

STATISTIKA-STATISTICS AND ECONOMY JOURNAL, Czech Statistical Office, 2018, 0322-788X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10103 Statistics and probability

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/00216224:14310/18:00103782

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000445278600006

Klíčová slova anglicky

Bayesian data analysis; geographic profiling; Global Terrorism Database; anchor point

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 7. 1. 2019 10:19, doc. Mgr. Jan Koláček, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1204/2017, interní kód MU

Název: Matematické statistické modelování 2 (Akronym: MaStaMo2)

Investor: Masarykova univerzita, Matematické statistické modelování 2, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

SVOBODOVÁ, Jana a Jan KOLÁČEK. Bayesian Geographical Profiling in Terrorism Revealing. STATISTIKA-STATISTICS AND ECONOMY JOURNAL. Czech Statistical Office, 2018, roč. 98, č. 3, s. 295-305. ISSN 0322-788X.

@article{1440996,
   author = {Svobodová, Jana and Koláček, Jan},
   article_number = {3},
   keywords = {Bayesian data analysis; geographic profiling; Global Terrorism Database; anchor point},
   language = {eng},
   issn = {0322-788X},
   journal = {STATISTIKA-STATISTICS AND ECONOMY JOURNAL},
   title = {Bayesian Geographical Profiling in Terrorism Revealing},
   url = {https://www.czso.cz/documents/10180/61266313/32019718q3295.pdf/7a711671-aa80-4536-be96-12c7a183a1f8?version=1.0},
   volume = {98},
   year = {2018}
}

TY  - JOUR
ID  - 1440996
AU  - Svobodová, Jana - Koláček, Jan
PY  - 2018
TI  - Bayesian Geographical Profiling in Terrorism Revealing
JF  - STATISTIKA-STATISTICS AND ECONOMY JOURNAL
VL  - 98
IS  - 3
SP  - 295-305
EP  - 295-305
PB  - Czech Statistical Office
SN  - 0322788X
KW  - Bayesian data analysis
KW  - geographic profiling
KW  - Global Terrorism Database
KW  - anchor point
UR  - https://www.czso.cz/documents/10180/61266313/32019718q3295.pdf/7a711671-aa80-4536-be96-12c7a183a1f8?version=1.0
L2  - https://www.czso.cz/documents/10180/61266313/32019718q3295.pdf/7a711671-aa80-4536-be96-12c7a183a1f8?version=1.0
N2  - 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.
ER  -

SVOBODOVÁ, Jana a Jan KOLÁČEK. Bayesian Geographical Profiling in Terrorism Revealing. \textit{STATISTIKA-STATISTICS AND ECONOMY JOURNAL}. Czech Statistical Office, 2018, roč.~98, č.~3, s.~295-305. ISSN~0322-788X.

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