Óscar Contreras-Velasco
Biographic Data
| ID | 760257 |
|---|---|
| NAME | Óscar Contreras-Velasco |
| GIVEN NAMES | Óscar |
| FAMILY NAME | Contreras-Velasco |
| SIGNATURE | CONTRERAS-VELASCO Ó |
| AFFILIATIONS | Universidad Autónoma de Baja California |
| ORCID | 0000-0003-0566-4060 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unintended consequences of state action
This paper builds on social network analysis and structural balance theory to analyze, with a novel approach, some of the unintended consequences of Mexico’s kingpin strategy on the network of criminal organizations. I use data on violent conflicts between Mexico’s criminal organizations, between 2004 and 2020, from the Uppsala Conflict Data Program (UCDP), and a combination of statistics, social network analysis, GIS, and archival methods to und…
The Geography of the H-2 Visa Temporary Migrant Labor Program in Mexico and the United States
This article examines the geography of H-2 visas, a temporary migrant labor program that recruits mainly Mexican workers to the United States. The analysis draws on the EMIF Norte survey and labor certification data from the U.S. Department of Labor to map the origins and destinations of H-2 temporary migrant workers. Findings indicate that, despite significant changes in the modality of cross-border migration, in Mexico, H-2 recruitment occurs i…
When elephants fight, it’s the grass that suffers
How does the contestation of territorial control by organized crime shape risks for migrants at the U.S.–Mexico border? Drawing on survey data from nearly 5,000 undocumented migrants (Encuesta sobre Migración en la Frontera Norte [EMIF Norte]), official homicide data from Mexico's National Institute of Statistics and Geography, and U.S. Customs and Border Protection apprehension statistics, this paper combines panel data analysis, negative binomi…
Uncovering hidden alliances in organized crime networks with machine learning
Covert or dark networks, such as those formed by organized crime or illicit alliances, pose unique challenges for link prediction research due to their inherent secrecy and data incompleteness. In this study, we compare a suite of advanced methods for inferring missing links in covert networks, including classical node similarity indices, graph embedding approaches, and GNN-based methods. We evaluate them on two real-world datasets: the Lantia da…
Institución policial, violencia y cultura del terror en Tijuana
El presente trabajo plantea que, en un contexto de violencia extrema, las y los policías municipales de Tijuana responden a la incertidumbre laboral y vital mediante nociones de sentido común sedimentadas en la experiencia colectiva que ordenan sus prácticas cotidianas. A través de trabajo etnográfico, se encontraron tres nociones de sentido común que articulan tal incertidumbre, y que los policías llaman las tres garantías (3G): "En cualquier mo…
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Institución policial, violencia y cultura del terror en Tijuana
El presente trabajo plantea que, en un contexto de violencia extrema, las y los policías municipales de Tijuana responden a la incertidumbre laboral y vital mediante nociones de sentido común sedimentadas en la experiencia colectiva que ordenan sus prácticas cotidianas. A través de trabajo etnográfico, se encontraron tres nociones de sentido común que articulan tal incertidumbre, y que los policías llaman las tres garantías (3G): "En cualquier mo…
Unintended consequences of state action
This paper builds on social network analysis and structural balance theory to analyze, with a novel approach, some of the unintended consequences of Mexico’s kingpin strategy on the network of criminal organizations. I use data on violent conflicts between Mexico’s criminal organizations, between 2004 and 2020, from the Uppsala Conflict Data Program (UCDP), and a combination of statistics, social network analysis, GIS, and archival methods to und…
The Geography of the H-2 Visa Temporary Migrant Labor Program in Mexico and the United States
This article examines the geography of H-2 visas, a temporary migrant labor program that recruits mainly Mexican workers to the United States. The analysis draws on the EMIF Norte survey and labor certification data from the U.S. Department of Labor to map the origins and destinations of H-2 temporary migrant workers. Findings indicate that, despite significant changes in the modality of cross-border migration, in Mexico, H-2 recruitment occurs i…
When elephants fight, it’s the grass that suffers
How does the contestation of territorial control by organized crime shape risks for migrants at the U.S.–Mexico border? Drawing on survey data from nearly 5,000 undocumented migrants (Encuesta sobre Migración en la Frontera Norte [EMIF Norte]), official homicide data from Mexico's National Institute of Statistics and Geography, and U.S. Customs and Border Protection apprehension statistics, this paper combines panel data analysis, negative binomi…
Uncovering hidden alliances in organized crime networks with machine learning
Covert or dark networks, such as those formed by organized crime or illicit alliances, pose unique challenges for link prediction research due to their inherent secrecy and data incompleteness. In this study, we compare a suite of advanced methods for inferring missing links in covert networks, including classical node similarity indices, graph embedding approaches, and GNN-based methods. We evaluate them on two real-world datasets: the Lantia da…
Crime, Illicit Activities, and Governance (4 works) · Crime Patterns and Interventions (3 works) · Criminology (2 works) · Political science (2 works) · Sociology (2 works) · Apprehension (1 works) · Border crossing (1 works) · Certification (1 works) · Computer Science (1 works) · Computer security (1 works)