论文标题
部分可观测时空混沌系统的无模型预测
Human Trafficking in Mexico: Data sources, Network Analysis and the Limits of Dismantling Strategies
论文作者
论文摘要
人口贩运是一种无情的犯罪，代表了世界第二大盈利的犯罪。墨西哥的地理位置使它成为一个人口贩运高水平的国家。使用雪球采样方法，本文的主要贡献是在墨西哥南部边界的人口贩运网络的抽象。基于社交网络分析，可以确定犯罪网络中等集中（44.32％）和中等密度（0.401）。因此，该网络具有最小的凝聚力，成员可能会发现很难共享信息，金钱或产品。为了评估解决犯罪组织的不同拆除策略，评估了三种算法。我们发现，第一个被删除的演员既不是最连接的人，也不是最多的外围，但是与他们的同类人有适度联系的演员应该被删除。总而言之，本文提供了重要的一步，以了解定量人口贩运网络并评估拆除策略的局限性。
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.
