Provide a framework for analyzing network data in the fight against social anomalies

Document Type : Research Paper

Authors

1 information science .university of tehran.tehran.iran

2 Scientometrics Department Shahed University, Tehran, Iran

3 Faculty of Management, Department of Information Science, University of Tehran

Abstract

The main purpose of this research is to provide a framework for the analysis of digital network data in the fight against social anomalies, specifically the crime of theft. In this study, issues related to the crime of theft are categorized in the form of crime identification, prediction and prevention, and the application of data cavitation techniques in three areas is examined. The research is exploratory in terms of applied purpose. The statistical population includes information related to the crime of theft registered in law enforcement and police organizations in 1399. First, data related to information were collected as documents and then selected using content analysis method to be prepared for analysis. . The patterns of theft crime were discovered based on the type of crime (house-car theft and others), place of entry, method of entry, search methods, residential area, Finally, using tools and methods of data analysis of digital networks (specifically data mining) were categorized and validated

Keywords

Scientometrics Research Journal

Articles in Press, Accepted Manuscript
Available Online from 28 June 2021

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