Complex Network Tools to Understand the Behavior of Criminality in Urban Areas

  title={Complex Network Tools to Understand the Behavior of Criminality in Urban Areas},
  author={Gabriel Spadon and Lucas de Carvalho Scabora and Marcus V. S. Araujo and Paulo H. Oliveira and Bruno Brandoli Machado and Elaine P. M. de Sousa and Caetano Traina and Jos{\'e} F. Rodrigues},
Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several research groups have focused on such application, but until now, there is a lack of a well-defined methodology for employing complex networks in a whole crime analysis process, i.e. from data preparation to a deep analysis of criminal communities. Furthermore, the “toolset” available for those works is not complete enough… 

Mirante: A visualization tool for analyzing urban crimes

The usefulness of Mirante is demonstrated throughout case studies run by domain experts using real data sets from cities with different characteristics, capable of diagnosing how crime evolves in specific regions of the cities while still being able to raise hypotheses about why certain types of crime show up.

Urban Security Analysis in the City of Bogotá Using Complex Networks

This study focuses on the city of Bogota as a model for security analysis, defined by official crime records and social strata percentages, and does a regional quality classification and a quicker and safer route recommendation in function of the reliable data extracted from databases.

Construção e Análise das Redes Sociais de Personagens dos Filmes da Franquia O Senhor dos Anéis

Este artigo tem como foco as redes de personagens, que sao um tipo de rede social, apresentando propriedades de redes complexas. Para construir a rede de personagens de um filme, uma estrategia e

Characterizing mobility patterns and describing collective behavior in georeferenced graphs through analytical processing of real-world complex networks

This work introduced pre-processing techniques to transform georeferenced electronic maps into graph representations of cities and introduced a novel set of formalisms and operations based on set theory to identify design flaws concerning access in urban centers.



Network-based space-time search-window technique for hotspot detection of street-level crime incidents

The empirical analysis of the drug markets and assaults in downtown Buffalo, New York revealed a detailed space‐time signature of each type of crime, highlighting the recurrent nature of drug dealing at specific locations as well as the sporadic tendency of assault incidents.

Predictive crime mapping

Geographic Information Systems (GIS) have emerged as a key tool in intelligence-led policing and spatial predictions of crime are being used by many police services to reduce crime. Break and entries

Network Science - Complexity in Nature and Technology

This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another.

Complex Networks: Structure and Dynamics

The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.

Street Centrality and Densities of Retail and Services in Bologna, Italy

This paper examines the relationship between street centrality and densities of commercial and service activities in the city of Bologna, northern Italy. Street centrality is calibrated in a multiple

OpenStreetMap: User-Generated Street Maps

The OpenStreetMap project is a knowledge collective that provides user-generated street maps. OSM follows the peer production model that created Wikipedia; its aim is to create a set of map data

V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure

V-measure is presented, an external entropybased cluster evaluation measure that satisfies several desirable properties of clustering solutions, and is used to evaluate two clustering tasks: document clustering and pitch accent type clustering.

Exploratory Space–Time Analysis of Burglary Patterns

This paper introduces two new methods for the exploratory analysis of the spatial and temporal dynamics of residential burglary patterns. The first is a conditional spatial Markov chain which