Sociometric network analysis in illicit drugs research: A scoping review.

<h4>Background</h4>Sociometric or whole network analysis, a method used to analyze relational patterns among social actors, emphasizes the role of social structure in shaping behaviour. Such method has been applied to many aspects of illicit drug research, including in the areas of publi...

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Main Authors: Naomi Zakimi, Alissa Greer, Martin Bouchard, Arshpreet Dhillon, Alison Ritter
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282340&type=printable
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author Naomi Zakimi
Alissa Greer
Martin Bouchard
Arshpreet Dhillon
Alison Ritter
author_facet Naomi Zakimi
Alissa Greer
Martin Bouchard
Arshpreet Dhillon
Alison Ritter
author_sort Naomi Zakimi
collection DOAJ
description <h4>Background</h4>Sociometric or whole network analysis, a method used to analyze relational patterns among social actors, emphasizes the role of social structure in shaping behaviour. Such method has been applied to many aspects of illicit drug research, including in the areas of public health, epidemiology, and criminology. Previous reviews about social networks and drugs have lacked a focus on the use of sociometric network analysis for illicit drugs research across disciplines. The current scoping review aimed to provide an overview of the sociometric network analysis methods used in illicit drugs research and to assess how such methods could be used for future research.<h4>Methods</h4>A systematic search of six databases (Web of Science, ProQuest Sociology Collection, Political Science Complete, PubMed, Criminal Justice Abstracts, and PsycINFO) returned 72 relevant studies that met the inclusion criteria. To be included, studies had to mention illicit drugs and use whole social network analysis as one of their methods. Studies were summarized quantitatively and qualitatively using a data-charting form and a description of the studies' main topics.<h4>Results</h4>Sociometric network analysis in illicit drugs research has grown in popularity in the last decade, using mostly descriptive network metrics, such as degree centrality (72.2%) and density (44.4%). Studies were found to belong to three study domains. The first, drug crimes investigated network resilience and collaboration patterns in drug trafficking networks. The second domain, public health, focused on the social networks and social support of people who use drugs. Finally, the third domain focused on the collaboration networks of policy, law enforcement, and service providers.<h4>Conclusion</h4>Future illicit drugs research using whole network SNA should include more diverse data sources and samples, incorporate mixed and qualitative methods, and apply social network analysis to study drug policy.
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spelling doaj-art-144beae71ce043e598e1afb9f69e0a4c2025-02-05T05:32:43ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182e028234010.1371/journal.pone.0282340Sociometric network analysis in illicit drugs research: A scoping review.Naomi ZakimiAlissa GreerMartin BouchardArshpreet DhillonAlison Ritter<h4>Background</h4>Sociometric or whole network analysis, a method used to analyze relational patterns among social actors, emphasizes the role of social structure in shaping behaviour. Such method has been applied to many aspects of illicit drug research, including in the areas of public health, epidemiology, and criminology. Previous reviews about social networks and drugs have lacked a focus on the use of sociometric network analysis for illicit drugs research across disciplines. The current scoping review aimed to provide an overview of the sociometric network analysis methods used in illicit drugs research and to assess how such methods could be used for future research.<h4>Methods</h4>A systematic search of six databases (Web of Science, ProQuest Sociology Collection, Political Science Complete, PubMed, Criminal Justice Abstracts, and PsycINFO) returned 72 relevant studies that met the inclusion criteria. To be included, studies had to mention illicit drugs and use whole social network analysis as one of their methods. Studies were summarized quantitatively and qualitatively using a data-charting form and a description of the studies' main topics.<h4>Results</h4>Sociometric network analysis in illicit drugs research has grown in popularity in the last decade, using mostly descriptive network metrics, such as degree centrality (72.2%) and density (44.4%). Studies were found to belong to three study domains. The first, drug crimes investigated network resilience and collaboration patterns in drug trafficking networks. The second domain, public health, focused on the social networks and social support of people who use drugs. Finally, the third domain focused on the collaboration networks of policy, law enforcement, and service providers.<h4>Conclusion</h4>Future illicit drugs research using whole network SNA should include more diverse data sources and samples, incorporate mixed and qualitative methods, and apply social network analysis to study drug policy.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282340&type=printable
spellingShingle Naomi Zakimi
Alissa Greer
Martin Bouchard
Arshpreet Dhillon
Alison Ritter
Sociometric network analysis in illicit drugs research: A scoping review.
PLoS ONE
title Sociometric network analysis in illicit drugs research: A scoping review.
title_full Sociometric network analysis in illicit drugs research: A scoping review.
title_fullStr Sociometric network analysis in illicit drugs research: A scoping review.
title_full_unstemmed Sociometric network analysis in illicit drugs research: A scoping review.
title_short Sociometric network analysis in illicit drugs research: A scoping review.
title_sort sociometric network analysis in illicit drugs research a scoping review
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0282340&type=printable
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AT martinbouchard sociometricnetworkanalysisinillicitdrugsresearchascopingreview
AT arshpreetdhillon sociometricnetworkanalysisinillicitdrugsresearchascopingreview
AT alisonritter sociometricnetworkanalysisinillicitdrugsresearchascopingreview