Proceedings of the 2014 2nd International Conference on Advances in Social Science, Humanities and Management

Research on Data Mining in Social Networks based on User Features

Authors
Kong Liyun
Corresponding Author
Kong Liyun
Available Online December 2014.
DOI
https://doi.org/10.2991/asshm-14.2014.125How to use a DOI?
Keywords
data mining; social network; data extraction; user characteristics
Abstract
this paper first introduces social network data sets, the definition of technology and the current situation and challenges in the research of social network, which introduces the research significance of multi-dimensional social network data sets. Then this paper introduces 3D social data acquisition scheme, including the scheme, the reality of social information acquisition scheme of virtual social information acquisition and self-assessment information acquisition scheme. This paper collected and made three - dimensional social data mobile social network data sets, explored the law of motion of users, from the angle of multiple social data mining to explore the difference and connection between the multi-dimensional social characteristics, the experimental results show that the prediction accuracy of forecasting model has higher in the paper.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Kong Liyun
PY  - 2014/12
DA  - 2014/12
TI  - Research on Data Mining in Social Networks based on User Features
BT  - 2014 2nd International Conference on Advances in Social Science, Humanities, and Management (ASSHM-14)
PB  - Atlantis Press
SP  - 448
EP  - 450
SN  - 2352-5398
UR  - https://doi.org/10.2991/asshm-14.2014.125
DO  - https://doi.org/10.2991/asshm-14.2014.125
ID  - Liyun2014/12
ER  -