IDEAS home Printed from https://ideas.repec.org/a/eee/jcjust/v96y2025ics004723522400196x.html
   My bibliography  Save this article

Invite only: The prevalence of subgroups within a police department

Author

Listed:
  • Hashimi, Sadaf
  • Ouellet, Marie

Abstract

There has been growing interest from legislators and civil rights groups to identify subgroups within law enforcement agencies. Yet, few studies have examined the attributes and behaviors of officers recruited to join. This study adopts a network approach to understanding the scope and social position of officers invited to join departmental subgroups.

Suggested Citation

  • Hashimi, Sadaf & Ouellet, Marie, 2025. "Invite only: The prevalence of subgroups within a police department," Journal of Criminal Justice, Elsevier, vol. 96(C).
  • Handle: RePEc:eee:jcjust:v:96:y:2025:i:c:s004723522400196x
    DOI: 10.1016/j.jcrimjus.2024.102347
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004723522400196X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jcrimjus.2024.102347?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen D. Mastrofski, 2004. "Controlling Street-Level Police Discretion," The ANNALS of the American Academy of Political and Social Science, , vol. 593(1), pages 100-118, May.
    2. Garry Robins & Philippa Pattison & Peter Elliott, 2001. "Network models for social influence processes," Psychometrika, Springer;The Psychometric Society, vol. 66(2), pages 161-189, June.
    3. Akshay Jain & Rajiv Sinclair & Andrew V Papachristos, 2022. "Identifying misconduct-committing officer crews in the Chicago police department," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-21, May.
    4. Edika G. Quispe-Torreblanca & Neil Stewart, 2019. "Publisher Correction: Causal peer effects in police misconduct," Nature Human Behaviour, Nature, vol. 3(7), pages 762-762, July.
    5. Johan Koskinen & Galina Daraganova, 2022. "Bayesian analysis of social influence," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1855-1881, October.
    6. Edika G. Quispe-Torreblanca & Neil Stewart, 2019. "Causal peer effects in police misconduct," Nature Human Behaviour, Nature, vol. 3(8), pages 797-807, August.
    7. Labun, Alona & Wittek, Rafael & Steglich, Christian, 2016. "The co-evolution of power and friendship networks in an organization," Network Science, Cambridge University Press, vol. 4(3), pages 364-384, September.
    8. Paoline, Eugene A., 2003. "Taking stock: Toward a richer understanding of police culture," Journal of Criminal Justice, Elsevier, vol. 31(3), pages 199-214.
    9. Stephen P. Borgatti, 2006. "Identifying sets of key players in a social network," Computational and Mathematical Organization Theory, Springer, vol. 12(1), pages 21-34, April.
    10. Ronald S. Burt & Marc Knez, 1995. "Kinds of Third-Party Effects on Trust," Rationality and Society, , vol. 7(3), pages 255-292, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Goldrosen, Nicholas, 2024. "Is corrections officers' use of illegal force networked? Network structure, brokerage, and key players in the New York City Department of Correction," Journal of Criminal Justice, Elsevier, vol. 92(C).
    2. Alex Stivala & Peng Wang & Alessandro Lomi, 2024. "ALAAMEE: Open-source software for fitting autologistic actor attribute models," PLOS Complex Systems, Public Library of Science, vol. 1(4), pages 1-32, December.
    3. Yi Cao & Tao Zhou & Jian Gao, 2024. "Heterogeneous peer effects of college roommates on academic performance," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Akshay Jain & Rajiv Sinclair & Andrew V Papachristos, 2022. "Identifying misconduct-committing officer crews in the Chicago police department," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-21, May.
    5. Cubitt, Timothy I.C. & Gaub, Janne E. & Holtfreter, Kristy, 2022. "Gender differences in serious police misconduct: A machine-learning analysis of the New York Police Department (NYPD)," Journal of Criminal Justice, Elsevier, vol. 82(C).
    6. Ian T. Adams & Joshua McCrain & Daniel S. Schiff & Kaylyn Jackson Schiff & Scott M. Mourtgos, 2025. "Police reform from the top down: Experimental evidence on police executive support for civilian oversight," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 44(2), pages 403-427, March.
    7. Adams, Ian T. & McCrain, Joshua & Schiff, Daniel S. & Schiff, Kaylyn Jackson & Mourtgos, Scott M., 2022. "Public Pressure or Peer Influence: What Shapes Police Executives' Views on Civilian Oversight?," SocArXiv mdu96, Center for Open Science.
    8. repec:osf:socarx:mdu96_v1 is not listed on IDEAS
    9. Christoff, Thomas & Carleton, Benjamin, 2024. "Buy-in for police early intervention systems: An initial exploration of what works," Journal of Criminal Justice, Elsevier, vol. 92(C).
    10. Leung, Aegean & Zhang, Jing & Wong, Poh Kam & Foo, Maw Der, 2006. "The use of networks in human resource acquisition for entrepreneurial firms: Multiple "fit" considerations," Journal of Business Venturing, Elsevier, vol. 21(5), pages 664-686, September.
    11. Mark J. O. Bagley, 2019. "Networks, geography and the survival of the firm," Journal of Evolutionary Economics, Springer, vol. 29(4), pages 1173-1209, September.
    12. Hosseinali Salemi & Austin Buchanan, 2022. "Solving the Distance-Based Critical Node Problem," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1309-1326, May.
    13. Capponi, Agostino & Corell, Felix & Stiglitz, Joseph E., 2022. "Optimal bailouts and the doom loop with a financial network," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 35-50.
    14. Zhao, Shuying & Sun, Shaowei, 2023. "Identification of node centrality based on Laplacian energy of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    15. Toby Miles-Johnson & Suzanna Fay & Susann Wiedlitzka, 2021. "Policing Minority Communities: How Perception of Engagement and Level of “Awareness” Influence Officer Attitudes toward Practice," Social Sciences, MDPI, vol. 10(2), pages 1-23, February.
    16. Fehr, Dietmar & Sutter, Matthias, 2019. "Gossip and the efficiency of interactions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 448-460.
    17. Raddant, Matthias & Takahashi, Hiroshi, 2019. "The Japanese corporate board network," Kiel Working Papers 2130, Kiel Institute for the World Economy (IfW Kiel).
    18. Liberati, Caterina & Marzo, Massimiliano & Zagaglia, Paolo & Zappa, Paola, 2012. "Structural distortions in the Euro interbank market: the role of 'key players' during the recent market turmoil," MPRA Paper 40223, University Library of Munich, Germany.
    19. Michel Grabisch & Agnieszka Rusinowska, 2015. "Lattices in Social Networks with Influence," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-18.
    20. Ahmadreza Asgharpourmasouleh & Atiye Sadeghi & Ali Yousofi, 2017. "A Grounded Agent-Based Model of Common Good Production in a Residential Complex: Applying Artificial Experiments," SAGE Open, , vol. 7(4), pages 21582440177, October.
    21. Andrea Galeotti & Benjamin Golub & Sanjeev Goyal, 2020. "Targeting Interventions in Networks," Econometrica, Econometric Society, vol. 88(6), pages 2445-2471, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jcjust:v:96:y:2025:i:c:s004723522400196x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jcrimjus .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.