Social network analysis as a tool for criminal intelligence: understanding its potential from the perspectives of intelligence analysts

被引:25
作者
Burcher, Morgan [1 ]
Whelan, Chad [1 ]
机构
[1] Deakin Univ, Sch Humanities & Social Sci, Geelong, Vic, Australia
关键词
Social network analysis; Criminal networks; Criminal network characteristics; Dark networks; Law enforcement; Law enforcement organisational characteristics; DARK NETWORKS; EVOLUTION; SNA;
D O I
10.1007/s12117-017-9313-8
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
Over the past two decades an increasing number of researchers have applied social network analysis (SNA) to various 'dark' networks. This research suggests that SNA is capable of revealing significant insights into the dynamics of dark networks, particularly the identification of critical nodes, which can then be targeted by law enforcement and security agencies for disruption. However, there has so far been very little research into whether and how law enforcement agencies can actually leverage SNA in an operational environment and in particular the challenges agencies face when attempting to apply various network analysis techniques to criminal networks. This paper goes some way towards addressing these issues by drawing on qualitative interviews with criminal intelligence analysts from two Australian state law enforcement agencies. The primary contribution of this paper is to call attention to the organisational characteristics of law enforcement agencies which, we argue, can influence the capacity of criminal intelligence analysts to successfully apply SNA as much as the often citied 'characteristics of criminal networks'.
引用
收藏
页码:278 / 294
页数:17
相关论文
共 50 条
[1]  
[Anonymous], 2002, Connections
[2]  
Arquilla J., 2014, PRISM, V4, P22
[3]   The BALCO scandal: the social structure of a steroid distribution network [J].
Athey, Nicholas C. ;
Bouchard, Martin .
GLOBAL CRIME, 2013, 14 (2-3) :216-237
[4]   On the robustness of centrality measures under conditions of imperfect data [J].
Borgatti, SP ;
Carley, KM ;
Krackhardt, D .
SOCIAL NETWORKS, 2006, 28 (02) :124-136
[5]   Network Analysis in the Social Sciences [J].
Borgatti, Stephen P. ;
Mehra, Ajay ;
Brass, Daniel J. ;
Labianca, Giuseppe .
SCIENCE, 2009, 323 (5916) :892-895
[6]   Advances in research on illicit networks [J].
Bouchard, Martin ;
Amirault, Joanna .
GLOBAL CRIME, 2013, 14 (2-3) :119-122
[7]  
Bright DA, 2014, CRIME AND NETWORKS
[8]   Networks within networks: using multiple link types to examine network structure and identify key actors in a drug trafficking operation [J].
Bright, David A. ;
Greenhill, Catherine ;
Ritter, Alison ;
Morselli, Carlo .
GLOBAL CRIME, 2015, 16 (03) :219-237
[9]   Evolution of a drug trafficking network: Mapping changes in network structure and function across time [J].
Bright, David A. ;
Delaney, Jordan J. .
GLOBAL CRIME, 2013, 14 (2-3) :238-260
[10]   The Use of Actor-Level Attributes and Centrality Measures to Identify Key Actors: A Case Study of an Australian Drug Trafficking Network [J].
Bright, David A. ;
Greenhill, Catherine ;
Reynolds, Michael ;
Ritter, Alison ;
Morselli, Carlo .
JOURNAL OF CONTEMPORARY CRIMINAL JUSTICE, 2015, 31 (03) :262-278