Event scene modeling method based on dynamic crime network

A scene modeling and network technology, applied in the field of criminology, can solve the problems of feature interactivity, loss of interpretability, loss of dynamic interaction of criminal events, ignoring the variability of criminal events, etc., to protect variability and reduce high-dimensional effect of enhancing certainty
CN112989592APending Publication Date: 2021-06-18NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Publication Date
2021-06-18

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Abstract

The invention discloses an event scene modeling method based on a dynamic crime network. The method comprises the following steps: firstly, processing a spatial feature group in a crime event; using a utility function to conclude personal information contained in criminal network nodes to analysis of a criminal network, and abstracting a criminal activity into a model with maximized transaction benefits; and finally, solving an optimal solution under a constraint condition. According to the invention, the dynamic interaction between the criminal event and different crime types and crime sites is ensured, and the variability of the criminal event in a dynamically changing crime scene is protected.
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Description

technical field

[0001] The invention belongs to the technical field of criminology, and in particular relates to an event scene modeling method. Background technique

[0002] The existing scene modeling methods for crime events can be summarized into two main ways. The first method is to abstract and model crime events from time and space feature dimensions based on spatio-temporal crime hotspot data. These works can use GIS technology to obtain time series models, or build density transfer models through mathematical methods. This method increases the subject's feedback function to the environment information. Compared with the previous models, the realization of the feedback function is conducive to the realization of the dynamics of the system and the reliability of the prediction. Although the effect is good for a certain city, it ignores the spatial diffusion effect of criminal activities and has strict data requirements.

[0003] The second approach is to abstractly ...

Claims

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