Assessing the missing data problem in criminal network analysis using forensic DNA data
Bibliographic Data
| ID | 18925322 |
|---|---|
| Authors | Sabine De Moor (0000-0001-8395-2207, Ghent University, corresponding author), Christophe Vandeviver (0000-0001-9714-7006, Ghent University), Tom Vander Beken (0000-0002-1596-5070, Ghent University) |
| Year | 2020 |
| Volume | 61 |
| Pages | 99-106 |
| Publication date | 2020-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 0378-8733 • E-ISSN: 1879-2111 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socnet.2019.09.003 |
| OpenAlex | W2981889664 |
| Language | EN |
| Citations received | 4 |
| References cited | 32 |
Missing data is pertinent to criminal networks due to the hidden nature of crime. Generally, researchers evaluate the impact of incomplete network data by extracting or adding nodes and/or edges from a known network. Statistics on this reduced or completed network are then compared with statistics from the known network. In this study, we integrate police data on known offenders with DNA data on unknown offenders. Statistics from the integrated dataset (‘known network’) are compared with statistics from the police data (‘reduced network’). Networks with both known and unknown offenders are bigger but also have a different structure to networks with only known offenders
Data mining · Data science · Machine learning · Missing data · Statistics · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · HIV, Drug Use, Sexual Risk · Mathematics
The Relative Ineffectiveness of Criminal Network Disruption
Networks of Collaborating Criminals
Illuminating dark networks
Advancing Knowledge about Co-Offending
Effects of missing data in social networks
Centrality in social networks conceptual clarification
Measurement error in network data
Estimating point centrality using different network sampling techniques
The efficiency/security trade-off in criminal networks
On the robustness of centrality measures under conditions of imperfect data
The application of network analysis to criminal intelligence
The stability of centrality measures when networks are sampled
Do all the pieces matter? Assessing the reliability of law enforcement data sources for the network analysis of wire taps
Social network analysis and small group ‘dark’ networks
Policy and Intervention Considerations of a Network Analysis of Street Gangs
Co-Offending and Criminal Careers
Companions in Crime
Network Exposure and Homicide Victimization in an African American Community
Organization and Instigation in Delinquent Groups
It's Not What You Know--It's Who You Know That Counts. Analysing Serious Crime Groups as Social Networks
Structural effects of network sampling coverage I
Network sampling coverage II
The Impact of Co-Offending
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |