The importance of neighborhood offending networks for gun violence and firearm availability.
The salience of neighborhoods in shaping crime patterns is one of sociology's most robust areas of research. One way through which neighborhoods shape outcomes is through the creation and maintenance of social networks, patterns of interactions and relationships among neighborhood residents, organiz...
| Publicado en: | Social Forces Vol. 103; no. 2; pp. 780 - 802 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Dec2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=180255641&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 180255641 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00377732 SFR jtl: Social Forces issn: 00377732 maglogo: N pubinfo: dt: Dec2024 vid: 103 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 180255641 10.1093/sf/soae099 ppf: 780 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: The importance of neighborhood offending networks for gun violence and firearm availability. aug: au: Papachristos, Andrew V Murphy, James P Braga, Anthony Turchan, Brandon affil: Northwestern University , Department of Sociology, Evanston, IL, United States Institute for Policy Research, Northwestern University , Evanston, IL, United States RAND Corporation , Santa Monica, CA, United States University of Pennsylvania , Department of Criminology, Philadelphia, PA, United States Michigan State University, School of Criminal Justice , East Lansing, MI, United States su: New York (N.Y.) Neighborhoods Social networks Firearms & crime Sociodemographic factors Urban sociology Deviant behavior Shootings (Crime) sug: subj: Neighborhoods Social networks Firearms & crime Sociodemographic factors Urban sociology Deviant behavior New York (N.Y.) Other Individual and Family Services Shootings (Crime) keyword: community/urban sociology crime/deviance social networks community/urban sociology crime/deviance social networks ab: The salience of neighborhoods in shaping crime patterns is one of sociology's most robust areas of research. One way through which neighborhoods shape outcomes is through the creation and maintenance of social networks, patterns of interactions and relationships among neighborhood residents, organizations, groups, and institutions. This paper explores the relationship between network structures generated through acts of co-offending—when two or more individuals engage in an alleged crime together—and patterns of neighborhood gun violence and gun availability. Using arrest data from New York City, we create co-arrest networks between individuals arrested in the city between 2010 and 2015. We analyze these network patterns to, first, understand the overall structure of co-offending networks and, then, assess how they impact neighborhood levels of gun violence and gun availability. Results show that local and extra-local networks play a central role in predicting neighborhood levels of shootings: neighborhoods with a greater density of local ties have higher shootings rates, and neighborhoods that share social ties have similar rates of violence. In contrast, the network dynamics involved in gun recoveries are almost entirely local: co-offending patterns within neighborhoods are strongly associated with the level of gun recoveries, especially the clustering of co-offending networks indicative of groups. Contrary to previous research, spatial autocorrelation failed to predict either shootings or gun recoveries when demographic features were considered. Social-demographic characteristics seem to explain much of the observed spatial autocorrelation and the precise measurement of network properties might provide better measurements of the neighborhood dynamics involved in urban gun violence. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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