Research on Data Mining in Social Networks based on User Features
- https://doi.org/10.2991/asshm-14.2014.125How to use a DOI?
- data mining; social network; data extraction; user characteristics
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.
- © 2014, 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/).
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 - Proceedings of the 2014 2nd International Conference on Advances in Social Science, Humanities and Management 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 -