Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.

Title

Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.

Description

Title from PDF of title page (viewed, Feb. 11, 2021)
This book examines the use of social network analysis (SNA) in operational environments from the perspective of those who actually apply it. A rapidly growing body of literature suggests that SNA can reveal significant insights into the overall structure of criminal networks as well as the position of critical actors within such groups. This book draws on the existing SNA and intelligence literature, as well as qualitative interviews with crime intelligence analysts from two Australian state law enforcement agencies to understand its use by law enforcement agencies and the extent to which it can be used in practice. It includes a discussion of the challenges that analysts face when attempting to apply various network analysis techniques to criminal networks. Overall, it advances SNA as an investigative tool, and provides a significant contribution to the field that will be of interest to both researchers and practitioners interested in social network analysis, intelligence analysis and law enforcement

Publisher

Palgrave Macmillan,

Date

Contributor

SpringerLink (Online service)

Relation

https://link.springer.com/book/10.1007/978-3-030-47771-4

Format

1 online resource (xvi, 195 p.)

Language

eng

Type

a

Access Rights

Publisher's Web site. Access restricted to the University of Catania community.

DOI

10.1007/978-3-030-47771-4 doi

ISBN

3030477703
9783030477707
9783030477714 (electronic bk.)
3030477711 (electronic bk.)
3030477703
9783030477707

Series

Crime prevention and security management
Crime prevention and security management.

Citation

Burcher, Morgan., “Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.,” Lex e-books - Collana, accessed November 22, 2024, https://epub.unict.it/omeka/items/show/727.