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Social networks and gangs: moving research forward with low-cost data collection opportunities in school and prison settings

Social networks and gangs: moving research forward with low-cost data collection opportunities in... As useful as police data have been in furthering our knowledge of gangs and gang violence networks, not everything about gang networks can be learned from examining police data alone. There are numerous alternative sources of data that already exist on gang networks and some that can be developed further. This study aims to introduce existing research on social networks and gangs with a specific focus on prisons and schools.Design/methodology/approachThis study reviews the existing empirical literature on gang networks in schools and prison settings and use the broader literature on social networks and crime to propose directions for future research, including specific suggestions on data collection opportunities that are considered to be low-cost; that is, strategies that simply make use of existing administrative records in both settings, instead of developing original data collection procedures.FindingsThe author found the existing literature on each of these settings to be quite limited, especially when the spotlight is put specifically on gang networks. These shortcomings can be addressed via low-cost opportunities for data collection in each of these settings, opportunities that simply require the network coding of existing administrative records as a foundation for gang network studies.Originality/valueInvesting in these low-cost network data collection activities have the potential for theoretical and empirical contributions on our understanding of gang networks, and may also bring value to practitioners working in school and prison settings as a guide for network-based planning or interventions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Aggression, Conflict and Peace Research Emerald Publishing

Social networks and gangs: moving research forward with low-cost data collection opportunities in school and prison settings

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1759-6599
DOI
10.1108/jacpr-12-2020-0563
Publisher site
See Article on Publisher Site

Abstract

As useful as police data have been in furthering our knowledge of gangs and gang violence networks, not everything about gang networks can be learned from examining police data alone. There are numerous alternative sources of data that already exist on gang networks and some that can be developed further. This study aims to introduce existing research on social networks and gangs with a specific focus on prisons and schools.Design/methodology/approachThis study reviews the existing empirical literature on gang networks in schools and prison settings and use the broader literature on social networks and crime to propose directions for future research, including specific suggestions on data collection opportunities that are considered to be low-cost; that is, strategies that simply make use of existing administrative records in both settings, instead of developing original data collection procedures.FindingsThe author found the existing literature on each of these settings to be quite limited, especially when the spotlight is put specifically on gang networks. These shortcomings can be addressed via low-cost opportunities for data collection in each of these settings, opportunities that simply require the network coding of existing administrative records as a foundation for gang network studies.Originality/valueInvesting in these low-cost network data collection activities have the potential for theoretical and empirical contributions on our understanding of gang networks, and may also bring value to practitioners working in school and prison settings as a guide for network-based planning or interventions.

Journal

Journal of Aggression, Conflict and Peace ResearchEmerald Publishing

Published: Aug 24, 2021

Keywords: Schools; Social networks; Data collection; Prisons; Gangs; Affiliation networks; Data

References