Using Open Data to Detect Organized Crime Threats [electronic resource] : Factors Driving Future Crime /
Larsen, Henrik Legind.editor.
Blanco, José María.editor.
Pastor Pastor, Raquel.editor.
Yager, Ronald R.editor.
This work provides an innovative look at the use of open data for extracting information to detect and prevent crime, and also explores the link between terrorism and organized crime. In counter-terrorism and other forms of crime prevention, foresight about potential threats is vitally important and this information is increasingly available via electronic data sources such as social media communications. However, the amount and quality of these sources is varied, and researchers and law enforcement need guidance about when and how to extract useful information from them. The emergence of these crime threats, such as communication between organized crime networks and radicalization towards terrorism, is driven by a combination of political, economic, social, technological, legal and environmental factors. The contributions to this volume represent a major step by researchers to systematically collect, filter, interpret, and use the information available. For the purposes of this book, the only data sources used are publicly available sources which can be accessed legally and ethically. This work will be of interest to researchers in criminology and criminal justice, particularly in police science, organized crime, counter-terrorism and crime science. It will also be of interest to those in related fields such as applications of computer science and data mining, public policy, and business intelligence.
Includes bibliographical references at the end of each chapters and index.
Introdution -- Part 1: Key Concepts -- Organized Crime: Key Concepts -- How to Measure Organized Crime -- Part 2: Methodology -- Foresight and the Future of Crime -- Macro Environmental Factors Driving Organized Crime -- Future Crime that can be Extracted from Social Media Monitoring -- Organized Crime, Wild Cards and Dystopias -- Part 3: Use Cases -- Human Trafficking Case Study: Operation Golf- Radicalization in a Regional Context -- Links Between Organized Crime and Terrorism -- Conclusion and Future Research.
This work provides an innovative look at the use of open data for extracting information to detect and prevent crime, and also explores the link between terrorism and organized crime. In counter-terrorism and other forms of crime prevention, foresight about potential threats is vitally important and this information is increasingly available via electronic data sources such as social media communications. However, the amount and quality of these sources is varied, and researchers and law enforcement need guidance about when and how to extract useful information from them. The emergence of these crime threats, such as communication between organized crime networks and radicalization towards terrorism, is driven by a combination of political, economic, social, technological, legal and environmental factors. The contributions to this volume represent a major step by researchers to systematically collect, filter, interpret, and use the information available. For the purposes of this book, the only data sources used are publicly available sources which can be accessed legally and ethically. This work will be of interest to researchers in criminology and criminal justice, particularly in police science, organized crime, counter-terrorism and crime science. It will also be of interest to those in related fields such as applications of computer science and data mining, public policy, and business intelligence.
Criminology.
Data mining.
Criminology and Criminal Justice, general.
Data Mining and Knowledge Discovery.