张树森,魏玉党,梁循,窦勇,许媛,梁天新. 移动社交网络幂律分布特征及亲属关系判别[J]. 中文信息学报, 2018, 32(6): 114-123.
ZHANG Shusen, WEI Yudang, LIANG Xun, DOU Yong, XU Yuan, LIANG Tianxin. Research on Power-law Distribution and Identification of Kinship in Mobile Social Network. , 2018, 32(6): 114-123.
1.School of Information, Renmin University of China, Beijing 100872, China; 2.National Key Laboratory of Parallel and Distributed Processing (PDL), National University of Defense Technology, Changsha, Hunan 410073, China
Abstract:Social network structure and user relationship are the important topicsin social network analysis. In this paper,we study the power-law distribution and the identification of kinship between users for the mobile social network. Three power law distributions are revealed in the distribution of degree,connected sub-graph scale and the user contacts,which are compared with other social networks. We study the identification model of kinship by using GBDT (Gradient Boost Decision Tree) and LR (Logistic Regression) fusion method by extracting a variety of salient features of user's call behavior. The experiment indicates that the model can determine whether there is a kinship between users at a precision of 81.01%.
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