Citation

Modeling the Spatial Distribution of Crime Through Contiguity, Social Influence, and Status

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Abstract:

The standard approach of conceptualizing "space" when modeling the impact of spatial effects crime has been to rely on contiguity or distance-based measures of space. In recent years, some attention has been paid to moving beyond geographic space to also include measures of social similarity among geographic units (e.g. gang rivalries, socio-economic similarity) in the consideration of why one cross-influence might occur among places that are not necessarily geographically close. The current work introduces a third method - the employment of block-modeling techniques which are commonly used to model social influence within the social network. Using data on violence in Los Angeles, we compare the results across these various methods and demonstrate that the choice of model is dependent upon one's theory of why space matters.
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Association:
Name: ASC Annual Meeting
URL:
http://www.asc41.com


Citation:
URL: http://citation.allacademic.com/meta/p372173_index.html
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MLA Citation:

Tita, George., Radil, Steven. and Flint, Colin. "Modeling the Spatial Distribution of Crime Through Contiguity, Social Influence, and Status" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA, <Not Available>. 2014-11-28 <http://citation.allacademic.com/meta/p372173_index.html>

APA Citation:

Tita, G. , Radil, S. M. and Flint, C. "Modeling the Spatial Distribution of Crime Through Contiguity, Social Influence, and Status" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA <Not Available>. 2014-11-28 from http://citation.allacademic.com/meta/p372173_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: The standard approach of conceptualizing "space" when modeling the impact of spatial effects crime has been to rely on contiguity or distance-based measures of space. In recent years, some attention has been paid to moving beyond geographic space to also include measures of social similarity among geographic units (e.g. gang rivalries, socio-economic similarity) in the consideration of why one cross-influence might occur among places that are not necessarily geographically close. The current work introduces a third method - the employment of block-modeling techniques which are commonly used to model social influence within the social network. Using data on violence in Los Angeles, we compare the results across these various methods and demonstrate that the choice of model is dependent upon one's theory of why space matters.


Similar Titles:
Nowhere to Hide: Influences of CCTV on the Spatial Distribution of Crime and Arrests

Collective Efficacy, Social Capital and Social Disorganization and the Spatial Distribution of Fear of Crime and Disorder: An Empirical Test

Modelling the Spatio-Social Influence of Licensed Establishments on Crime in Urban Entertainment Districts


 
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