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Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study
Joint Authors
Darrah, Marjorie
Nolan, Jim
Zhang, Cun-Quan
Zhao, Peixin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper suggests a novel clustering method for analyzing the National Incident-Based Reporting System (NIBRS) data, which include the determination of correlation of different crime types, the development of a likelihood index for crimes to occur in a jurisdiction, and the clustering of jurisdictions based on crime type.
The method was tested by using the 2005 assault data from 121 jurisdictions in Virginia as a test case.
The analyses of these data show that some different crime types are correlated and some different crime parameters are correlated with different crime types.
The analyses also show that certain jurisdictions within Virginia share certain crime patterns.
This information assists with constructing a pattern for a specific crime type and can be used to determine whether a jurisdiction may be more likely to see this type of crime occur in their area.
American Psychological Association (APA)
Zhao, Peixin& Darrah, Marjorie& Nolan, Jim& Zhang, Cun-Quan. 2014. Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049826
Modern Language Association (MLA)
Zhao, Peixin…[et al.]. Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049826
American Medical Association (AMA)
Zhao, Peixin& Darrah, Marjorie& Nolan, Jim& Zhang, Cun-Quan. Analyses of Crime Patterns in NIBRS Data Based on a Novel Graph Theory Clustering Method: Virginia as a Case Study. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049826