A Machine Learning Methods To Identify A User's Social Circle Automatically

DOI

10.2991/icmse-15.2015.349How to use a DOI?

Keywords

social circle, overlap, hierarchical nested circle

Abstract

Uers organize networks and exchanges with the help of social networks, clasiffy the friend to the so-called social circle of friends. Construction of such a social circle will take the user a great deal of time. This paper presents a machine learning methods, he mutual networking between friends is as points clustering problem on the user's personal network. Through the relational model of multi-point created by overlap social circle we can analyze and measure the similarity of user-specific information to find hierarchical nested circles. In this paper, we obtain real data from the Weixin, Google and Renren to validate performance of proposed method. The method can explain why the nodes belong to some gathering at the same time of improving the accuracy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaojuan Wang
AU  - Xiaolong Hao
AU  - Chunyan Fu
PY  - 2015/12
DA  - 2015/12
TI  - A Machine Learning Methods To Identify A User's Social Circle Automatically
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1923
EP  - 1928
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.349
DO  - 10.2991/icmse-15.2015.349
ID  - Wang2015/12
ER  -