The Hidden Connections of Urban Crime: A Network Analysis of Victims, Crime Types, and Locations in Rio de Janeiro

Urban crime is a pressing issue in socially unequal regions like Brazil. We investigate the complex relationships between crime, victims, and urban situations in Rio de Janeiro. We analyze the connections between specific types of crime, victim characteristics, and crime locations through complex ne...

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Bibliographic Details
Published in:Urban science 2024-06, Vol.8 (2), p.72
Main Authors: Ventorim, Fernanda C., Netto, Vinicius M.
Format: Article
Language:English
Subjects:
Analysis
Brazil
complex network analysis
Crime
Crime prevention
crime types
Criminology
Demography
Geospatial data
Income distribution
Income inequality
Network analysis
place-based methods
Race
Social networks
United Kingdom
Urban crime
urban segregation
Victims
victims profiles
Violent crime
Vulnerability
vulnerable social groups
Women
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Summary:Urban crime is a pressing issue in socially unequal regions like Brazil. We investigate the complex relationships between crime, victims, and urban situations in Rio de Janeiro. We analyze the connections between specific types of crime, victim characteristics, and crime locations through complex network analysis. In a large-scale empirical study, we examine 5000 randomly selected crime incidents in Rio between 2007 and 2018. Our analysis reveals a strong association between sex, race, location, and income inequality in the risk of exposure to crime. The results suggest that specific social groups, notably black and brown women, face a higher-than-average vulnerability to particular types of crime in Rio. Our investigation confirms our hypothesis that crime incidents are not random occurrences. Instead, we have discovered meaningful connections between specific types of crime, victim characteristics, and crime locations. These findings indicate a pattern of underlying factors shaping the distribution of crime and vulnerable social groups.
ISSN:2413-8851
2413-8851
DOI:10.3390/urbansci8020072