Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.
Titolo
Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.
Descrizione
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
Autore
Editore
Palgrave Macmillan,
Data
Autore di contributo subordinato
SpringerLink (Online service)
Relazione
https://link.springer.com/book/10.1007/978-3-030-47771-4
Formato
1 online resource (xvi, 195 p.)
Lingua
eng
Tipo
a
Diritti di accesso
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.
Collection
Citation
Burcher, Morgan., “Social network analysis and law enforcement : applications for intelligence analysis / Morgan Burcher.,” Lex e-books - Collana, ultimo accesso il 22 novembre 2024, https://epub.unict.it/omeka/items/show/727.