A STATISTICAL MODEL OF CRIMINAL BEHAVIOR

By Martin B. Short, M. D’Orsogna, V. B. Pasour, George E. Tita, P. Brantingham, Andrea L. Bertozzi, L. Chayes. 2008

391 citations recorded by the source corpus.

Subfields: Modeling and Simulation, Public Health, Environmental and Occupational Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/790f40a81aaa6bd21c08355371c07ec987b725b8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Modeling and Simulation

In Public Health, Environmental and Occupational Health

In Sociology and Political Science

Citations in the corpus

Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014, background): “In [31], it is proposed a biased random walk model built upon empirical knowledge of criminal oﬀenders behavior along with spatio-temporal crime information to take into account repeating patterns in historical crime data.”
The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good (2016, methodology): “The people-centric perspective has mostly been used for individual or collective criminal profiling [67, 72, 91].”
Learning to Detect Patterns of Crime (2013, background): “Much recent work has focused on locating and studying hotspots, which are localized high-crime-density areas (e.g., [14–16], and for a review, see [17]).”
Self-exciting point process models of civilian deaths in Iraq (2011, background): “Self-excitation is also well-documented in criminal event patterning (Short et al., 2008; Townsley et al., 2008).”
Sparse stabilization and optimal control of the Cucker-Smale model (2013, neutral): “Certain aspects of human social behavior, as in language evolution [22, 24, 35] or even criminal activities [57], are also subject of intensive study by means of dynamical systems and kinetic models.”
Gang rivalry dynamics via coupled point process networks (2014, methodology): “The behavioral basis of clustering in crime data has recently been investigated using reaction-diffusion PDEs [12] [22] [24] [28] [29], agent based models [6] [12] [28], and point processes [6] [15] [30].”
On localised hotspots of an urban crime model (2013, background): “1) where the spatially homogeneous steady state becomes unstable to spatially periodic crime hotspots [37].”
Exploring Theories of Victimization Using a Mathematical Model of Burglary (2011, background): “Equation (2) is similar to Equation (2.5) in Short et al. (2008)2 but with the addition of the carrying capacity term and the stochastic random variable .”