Outlier mining in criminal networks
The Role of Machine Learning and Outlier Detection Models
Bibliographic Data
| ID | 7158844 |
|---|---|
| Authors | Alex S O Toledo (0000-0001-8413-5524, Forum Brasileiro de Seguranca Publica, corresponding author), Laura C Carpi (0000-0003-0344-4486, Federal Center for Technological Education of Minas Gerais), A P F Atman (0000-0002-7614-2721, Instituto Nacional de Tecnologia), A P Baêta Scarpelli (0000-0003-2904-5002, Federal Center for Technological Education of Minas Gerais) |
| Year | 2025 |
| Volume | 8 |
| Issue | 2 |
| Publication date | 2025-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computational Social Science (JOURNAL) |
| Journal identifiers | ISSN: 2432-2725 • E-ISSN: 2432-2717 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s42001-025-00364-0 |
| OpenAlex | W4407734818 |
| Language | EN |
| Citations received | 1 |
| References cited | 34 |
Anomaly detection · Data mining · Machine learning · Outlier · Anomaly Detection Techniques and Applications · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Artificial Intelligence
The Relative Ineffectiveness of Criminal Network Disruption
Efficient Behavior of Small-World Networks
Criminal Futures
Centrality measures in networks
The effect of violent crime on the human capital accumulation of young adults
Social Network Analysis for Ego-Nets
Outlier mining in criminal networks
Multiplex key roles to disrupt criminal networks
Reprint of
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |