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A triangle model of criminality

Nuno, Juan Carlos and Herrero, Miguel A. and Primicerio, Mario (2008) A triangle model of criminality. Physica A-statistical mechanics and its applications, 387 (12). pp. 2926-2936. ISSN 0378-4371

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This paper is concerned with a quantitative model describing the interaction of three sociological species, termed as owners, criminals and security guards, and denoted by X, Y and Z respectively. In our model, Y is a predator of the species X, and so is Z with respect to Y. Moreover, Z can also be thought of as a predator of X, since this last population is required to bear the costs of maintaining Z. We propose a system of three ordinary differential equations to account for the time evolution of X(t), Y(t) and Z(t) according to our previous assumptions. Out of the various parameters that appear in that system, we select two of them, denoted by H, and h, which are related with the efficiency of the security forces as a control parameter in our discussion. To begin with, we consider the case of large and constant owners population, which allows us to reduce (3)-(5) to a bidimensional system for Y(t) and Z(t). As a preliminary step, this situation is first discussed under the additional assumption that Y(t) + Z(t) is constant. A bifurcation study is then performed in terms of H and h, which shows the key role played by the rate of casualties in Y and Z, that results particularly in a possible onset of histability. When the previous restriction is dropped, we observe the appearance of oscillatory behaviours in the full two-dimensional system. We finally provide a exploratory study of the complete model (3)-(5), where a number of bifurcations appear as parameter H changes, and the corresponding solutions behaviours are described.

Item Type:Article
Uncontrolled Keywords:Criminality; nonlinear dynamics; sociological systems; dynastic cycle; crime; mathematics; sociology
Subjects:Social sciences > Law > Criminology
Sciences > Mathematics > Differential equations
Social sciences > Sociology > Social research
Sciences > Mathematics > Operations research
ID Code:16242

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