Human Trafficking in Mexico: Data sources, Network Analysis and the Limits of Dismantling Strategies

التفاصيل البيبلوغرافية
العنوان: Human Trafficking in Mexico: Data sources, Network Analysis and the Limits of Dismantling Strategies
المؤلفون: Tostado, Sofía de la Mora, Núñez-López, Mayra, Hernández-Vargas, Esteban A.
سنة النشر: 2022
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Social and Information Networks, Mathematics - Optimization and Control
الوصف: Human trafficking is a heartless crime that represents the second most profitable crime in the world. Mexico's geographical position makes it a country with high levels of human trafficking. Using the snowball sampling method, the major contribution of this paper is the abstraction of the human trafficking network on the southern border of Mexico. Based on a social network analysis, it is identified that the criminal network is moderately centralized (44.32%) and with medium density (0.401). Therefore, the network has minimal cohesiveness and members may find it difficult to share information, money, or products among themselves. To evaluate different dismantling strategies to tackle the criminal organization, three algorithms are evaluated. We found that the first actors to be removed are neither the most connected nor the most peripheral, but the actors who are moderately connected to people of their kind should be removed. In summary, this paper provides a significant step forward to understand quantitatively human trafficking networks and evaluate the limits of dismantling strategies.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2206.02971
رقم الانضمام: edsarx.2206.02971
قاعدة البيانات: arXiv