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Using Open Data to Detect Organized Crime Threats

Factors Driving Future Crime

  • Henrik Legind Larsen
  • José María Blanco
  • Raquel Pastor Pastor
  • Ronald R. Yager

Table of contents

  1. Front Matter
    Pages i-xv
  2. Key Concepts

    1. Front Matter
      Pages 1-1
    2. Andrea Gimenez-Salinas Framis
      Pages 3-23
  3. Methodology

    1. Front Matter
      Pages 45-45
    2. José María Blanco, Jéssica Cohen
      Pages 137-166
    3. Thomas Delavallade, Pierre Bertrand, Vincent Thouvenot
      Pages 167-198
    4. José María Blanco, Jéssica Cohen
      Pages 199-219
  4. Use-Cases

    1. Front Matter
      Pages 221-221
    2. Bernie Gravett
      Pages 223-239
    3. Luis de la Corte Ibáñez, Hristina Hristova Gergova
      Pages 261-279
  5. Back Matter
    Pages 281-282

About this book

Introduction

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.

Keywords

Crime Detection and Prevention Open Data Open Source Data Data and Text Mining Counter-terrorism Research Radicalization Criminal Networks Social Media Crime Indicators Research Human Trafficking Environmental Crime Research

Editors and affiliations

  • Henrik Legind Larsen
    • 1
  • José María Blanco
    • 2
  • Raquel Pastor Pastor
    • 3
  • Ronald R. Yager
    • 4
  1. 1.Department of Electronic SystemsAalborg University Department of Electronic SystemsEsbjergDenmark
  2. 2.Spanish Law Enforcement AgencyGuardia Civil Spanish Law Enforcement AgencyMadridSpain
  3. 3.Isdefe S.A. MadridSpain
  4. 4.Machine Intelligence InstituteIona College Machine Intelligence InstituteNew RochelleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52703-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Law and Criminology
  • Print ISBN 978-3-319-52702-4
  • Online ISBN 978-3-319-52703-1
  • Buy this book on publisher's site