Studying organized crime networks: Data sources, boundaries and the limits of structural measures
Publication type: Journal Article
Publication date: 2022-05-01
scimago Q1
wos Q1
SJR: 1.168
CiteScore: 5.7
Impact factor: 2.4
ISSN: 03788733, 18792111
Sociology and Political Science
Anthropology
General Psychology
General Social Sciences
Abstract
Network studies of organized crime (OC) normally explore two key relational issues: the internal structure of groups and the interactions among groups. The paper first discusses in depth two data sources that have been used to address these questions -- phone wiretaps and police-generated “events”– and reviews issues of validity, reliability and sampling. Next, it discusses challenges related to OC network data in general, focusing on the ‘double boundary specification’ problem and the time span of data collection. We conclude by arguing that structural analysis cannot be divorced from a deep contextual (qualitative) knowledge of the cases. The paper refers to concrete research dilemmas and solutions faced by scholars, including ourselves.
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Metrics
37
Total citations:
37
Citations from 2024:
20
(54.05%)
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GOST
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Campana P., Varese F. Studying organized crime networks: Data sources, boundaries and the limits of structural measures // Social Networks. 2022. Vol. 69. pp. 149-159.
GOST all authors (up to 50)
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Campana P., Varese F. Studying organized crime networks: Data sources, boundaries and the limits of structural measures // Social Networks. 2022. Vol. 69. pp. 149-159.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.socnet.2020.03.002
UR - https://doi.org/10.1016/j.socnet.2020.03.002
TI - Studying organized crime networks: Data sources, boundaries and the limits of structural measures
T2 - Social Networks
AU - Campana, Paolo
AU - Varese, Federico
PY - 2022
DA - 2022/05/01
PB - Elsevier
SP - 149-159
VL - 69
SN - 0378-8733
SN - 1879-2111
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Campana,
author = {Paolo Campana and Federico Varese},
title = {Studying organized crime networks: Data sources, boundaries and the limits of structural measures},
journal = {Social Networks},
year = {2022},
volume = {69},
publisher = {Elsevier},
month = {may},
url = {https://doi.org/10.1016/j.socnet.2020.03.002},
pages = {149--159},
doi = {10.1016/j.socnet.2020.03.002}
}