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      The Network Structure of Police Misconduct

      1 , 2 , 1
      Socius: Sociological Research for a Dynamic World
      SAGE Publications

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          Abstract

          Conventional explanations of police misconduct generally adopt a microlevel focus on deviant officers or a macrolevel focus on the top-down organization of police departments. Between these levels are social networks of misconduct. This study recreates these networks using data on 16,503 complaints and 15,811 police officers over a six-year period in Chicago. We examine individual-level factors associated with receiving a complaint, the basic properties of these misconduct networks, and factors related to officer co-naming in complaints. We find that the incidence of police misconduct is associated with attributes including race, age, and tenure and that almost half of police officers are connected in misconduct ties in broader networks of misconduct. We also find that certain dyadic factors, especially seniority and race, strongly predict network ties and the incidence of group misconduct. Our results provide actionable information regarding possible ways to leverage the co-complaint network structure to reduce misconduct.

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          Most cited references50

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          Delinquent Peers Revisited: Does Network Structure Matter?

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            Reconsidering Peers and Delinquency: How do Peers Matter?

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              The Social Organization of Conspiracy: Illegal Networks in the Heavy Electrical Equipment Industry

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                Author and article information

                Journal
                Socius: Sociological Research for a Dynamic World
                Socius
                SAGE Publications
                2378-0231
                2378-0231
                October 10 2019
                January 2019
                October 10 2019
                January 2019
                : 5
                : 237802311987979
                Affiliations
                [1 ]Northwestern University, Evanston, IL, USA
                [2 ]University of Southern California, Los Angeles, CA, USA
                Article
                10.1177/2378023119879798
                d549a96c-b858-4123-bb57-f3ed0552479b
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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