NETWORK-RESEARCH BASED DYNAMIC METHOD IN CRIME PREVENTION AND INVESTIGATION

Authors

  • Zoltán György Bács Ludovika University of Public Service

Keywords:

information, network, dynamism, AI, investigation

Abstract

One of the basic functions of the law-enforcement is to prevent crimes of any character and if crimes have already been committed, the law-enforcement structures will investigate the cases preparing all the possible proofs based on the gathered evidences and information for the prosecution. A new, innovative method is aimed to assist to collect, process, evaluate and assess the information in progress i.e. following the dynamics of the prevention if possible and investigation. 

The purpose of the resent study is to introduce the basic concept of the new method, to explain the interconnection between formation of new information based upon already known information, the time-flow and the formation of information networks and the dynamic link between the changing values of information on the subsequent progress of the investigation.

The method of research presented in his study is deductive and comparative analysis.

The dynamic analysis and assessment method to be called “Danube Analyst Method (DAM)” is unique since all the actual analyzing methods are based on stabile networks without considering the possible effects of the calculable or supposable information on the investigation progress. This is the first method-to-be assisted by wide use of Artificial Intelligence.

References

Auer, Á. és Joó T. (2019): Hálózatok a közszolgálatban Dialógus Campus Budapest

Barabási, A-L. (2003): Linked Plue, Penguin Group (USA) Inc.

Bács, Z. Gy. (2022) Új, innovatív módszer megalapozása az elemző-értékelő munkában.

A dinamikus mátrix alapú módszer Magyar Rendészet 2022/3.

Bács, Z. Gy. (2020) Dynamic Matrix Method Based on Information Theory in Analysis and Assessment in Counter-Terrorism Hungarian Defense Review 2020, Nr. 2. DOI: https://doi.org/10.35926/HDR.2020.2.9

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Published

2025-03-25

Issue

Section

Natural and Applied Sciences in Forensics, Cybercrime and Security