Big Data Science for Criminology and the Social Sciences

From Case Studies to Theory
1. Auflage 2027
ISBN: 978-1-4987-8865-6
Verlag: Taylor & Francis Inc

Buch, Englisch, 250 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in recent years. This data explosion has led to the development of specialized techniques for extracting information from such data. This book presents an introduction to "Big Data Science" for criminology and the social sciences, taking a case study-based approach to explaining the concepts. The theory is introduced as needed to answer scientific questions based on real data problems in the application areas. Some R and Python code is included to give support with implementation of the methods.

Autoren/Hrsg.

Trovati, Marcello

Murtagh, Fionn

Hill, Richard

Hodgson, Philip

Burton-Cartledge, Philip

Teague, Michael

Hargreaves, Charlotte

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Rechtswissenschaften Strafrecht

Inhaltsverzeichnis

Part 1: Big Data for Criminology, Criminal Justice and Sociology. Chapter 1: Criminology; Chapter 2: Sociology; Part 2: Big Data Science. Chapter 3: Big Data Science; Chapter 4: Visualisation of Big Data. Appendices: Probability; Statistics; Statistical Sampling; Network Theory; Information Theory.

Über Autor(innen)

Marcello Trovati (Department of Computing and Mathematics, University of Derby, UK), Fionn Murtagh (Goldsmiths University of London, United Kingdom), Richard Hill, Philip Hodgson, Philip Burton-Cartledge, Michael Teague, Charlotte Hargreaves.