基于社会网络分析县域之间暗娼流动网络实证研究

An Empirical Study of Flow Network of Unlicensed Prostitutes between Counties Based on Social Network Analysis

目的使用社会网络分析方法量化研究县域之间暗娼流动形成网络的特征和原因。方法通过采集的暗娼个人手机号码作为识别个体的依据,以县内的暗娼群体活动作为一个事件,县内暗娼提供的个人手机号作为参与事件的行动者,使用社会网络分析中整体网络分析方法,建立2-模网络。UCINET 6.216软件分别计算2-模网络的中心度;转化成1-模数据后采用核心边缘分析法中core/periphery计算核心边缘度,使用QAP法将暗娼流动网络分别与客运交通和地理邻接网络进行相关性分析。通过UCINET 6.216软件自带NetDraw 2.084进行可视化。结果从社会学量化研究发现暗娼群体在各县之间流动,且11个县之间暗娼流动强度有差别,形成一个9个县为核心,F和K县2个县处于边缘位置的流动网络。暗娼群体的流动网络与客运网络相关系数0.386,P=0.002;与地理邻接网络相关系数0.500,P=0.000。结论研究发现暗娼群体在各县之间存在不同强度的流动,形成一个9个县为核心,2个县处于边缘位置的网络。县域之间暗娼群体流动目的性很强,流动受暗娼群体内部人为因素影响最大。应进一步深入研究暗娼群体县域之间流动网络对群体内性传播疾病的影响。

Objectives To investigate how and why prostitutes transfer between counties by using a quantitative approach based on social network analysis.Methods After obtaining informed consent,we collected the mobile phone numbers of prostitutes as their unique identifiers in our study.The group activity of prostitutes within the county was regarded as an event.Their phone numbers were considered as an actor involved in the event.We used the whole network analysis of the social network analysis to build a 2-mode network.The centrality of 2-mode networks was calculated using UCINET6.216.After being converted into 1-mode data,the core-periphery degree was calculated by core-periphery analysis.The correlation of prostitutes’flow network with passenger transport and geographic adjacency was analyzed by QAP.The indexes were visualized by NetDraw2.084 in UCINET6.216.Results By using quantitative methods of sociological research,we found that prostitutes groups transferred between counties,but the intensity of transfer varied in11 counties.In a flow network of prostitutes,9 counties were the core places,while F County and K County were at the periphery.The coefficient of correlation between the flow network and passenger transport was 0.386,P=0.002.The coefficient of correlation between the flow network and geographic adjacency was 0.500,P=0.000.Conclusion Prostitutes groups transferred between counties,but the intensity of transfer varied.They formed a flow network with 9 counties being the core places and 2 counties being the periphery.The transfer of prostitutes groups between counties showed a strong purpose.The formation of the flow network was most susceptible to human factors inside groups.It is necessary to improve the accuracy of identifying the individuals in prostitutes’groups and go deep into the impact of such flow network on sexually transmitted diseases inside groups.