Social network analysis of typical women trafficking networks

doi:10.16511/j.cnki.qhdxxb.2019.26.045

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Abstract Women trafficking is a very serious problem in China which disrupts social order and endangers public security. Women trafficking cases were divided into three categories according to the characteristics of the victims with one typical case selected from each category to construct the trafficking networks. Then, the entire network characteristics including the actors' characteristics and the factors influencing co-offending were studied. The results show that the trafficking networks present a star-shaped structure with clear core-periphery structures. Co-offending is more likely to take place within the same nationality or native place. In addition, there is a significant positive effect of kinship on the co-offending. The findings in this paper provide a reference to help police prevent, control and combat women trafficking.

Keywords women trafficking crime networks social network analysis degree distribution core-periphery structure quadratic assignment procedure regression

Issue Date: 03 April 2020

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	HUANG Zhongliang
	WENG Wenguo

Cite this article:

HUANG Zhongliang,WENG Wenguo. Social network analysis of typical women trafficking networks[J]. Journal of Tsinghua University(Science and Technology), 2020, 60(4): 328-333.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2019.26.045 OR http://jst.tsinghuajournals.com/EN/Y2020/V60/I4/328

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