Detecting Social Circle in Social network Automatically

DOI

10.2991/icmse-15.2015.346How to use a DOI?

Keywords

social circle; similarity; overlap

Abstract

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.

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  - Zhanlong Yu
AU  - Lixin Dong
AU  - Yulin Chen
AU  - Chunyan Fu
AU  - Hong Zhou
AU  - Yuan Zhi
AU  - Silong Qu
PY  - 2015/12
DA  - 2015/12
TI  - Detecting Social Circle in Social network Automatically
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1906
EP  - 1911
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.346
DO  - 10.2991/icmse-15.2015.346
ID  - Yu2015/12
ER  -