@conference {1504013,
	title = {Modeling Crime diffusion and crime suppression on transportation networks: An initial report},
	booktitle = {SNSC 2013: The AAAI Fall Symposium 2013 on Social Networks and Social Contagion},
	year = {2013},
	abstract = {In urban transportation networks, crime diffuses as
criminals travel through the networks and look for illicit opportunities. It is important to first model this diffusion in order to recommend actions or patrol policies to control the diffusion of such crime. Previously,
game theory has been used for such patrol policy recommendations, but these applications of game theory
for security have not modeled the diffusion of crime that
comes about due to criminals seeking opportunities; instead the focus has been on highly strategic adversaries
that plan attacks in advance. To overcome this limitation of previous work, this paper provides the following
key contributions. First, we provide a model of crime
diffusion based on a quantal biased random movement
(QBRM) of criminals opportunistically and repeatedly
seeking targets. Within this model, criminals react to
real-time information, rather than strategically planning
their attack in advance. Second, we provide a gametheoretic approach to generate randomized patrol policies for controlling such diffusion.},
	author = {Zhang, Chao and Xin Jiang, Albert and Martin B. Short and P. Jeffrey Brantingham and Tambe, Milind}
}
