Detecting Social Circle in Social network Automatically

被引：0

作者：

Yu Zhanlong ^{[1
]}

Dong Lixin ^{[2
]}

Chen Yulin ^{[1
]}

Fu Chunyan ^{[1
]}

Zhou Hong ^{[1
]}

Zhi Yuan ^{[1
]}

Qu Silong ^{[1
]}

机构：

[1] JIAMUSI Univ, Coll Informat Sci & Elect Technol, Jiamusi 154007, Peoples R China

[2] 8 Middle Schoole, Jiamusi 154007, Peoples R China

来源：

PROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING | 2016年 / 32卷

关键词：

social circle; similarity; overlap;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Organizations of large and messy personal social networks are challenging issues. However, Construction of such a social circle will take the user a lot of energy, in addition, with the expansion of the user's social circle, the cost of updating timely is amazing. This paper presents a novel machine learning methods to identify a user's social circle automatically. We combined network structure and user profile information to develop a model for detecting social circle. Experimental results proved that the proposed model can accurately identify attribution of diverse data collection in social circles.

引用

页码：1906 / 1911

页数：6

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