Trafficking in persons: cluster analysis of sending and receiving countriesстатья
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Дата последнего поиска статьи во внешних источниках: 29 сентября 2021 г.
Аннотация:The objective of this article is to deepen the understanding of the problem of human trafficking by analyzing the patterns of the distribution of traffic across countries, based on international statistics on various socio-economic indicators. We conductedcluster analysis using neuro network grouping algorithm of Kohonen self-organizing maps, basing on 44 variables reflecting different social and economical aspects for 144 countries. Countries were grouped according to the type and level of risk of trafficking-related crimes, and traffic distribution maps were built based on generally accepted hypotheses about traffic factors. As a result of the study, a number of hypotheses explaining the nature of traffic were tested. The results reveal the linkage between the risk of incoming and outgoing trafficking and the socio-economic parameters of the countries and groups.