A Fast Prediction Algorithm for Sina Weibo Users with Time Correlation Cognition
Xixu He, Leiting Chen, Min Zhang
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.6How to use a DOI?
- Time Related Cognition; Classification Prediction; Granular Computing
- Social network is the most important way of information exchange and communication at present, which is a key step to study users' behavior in social network. Current methods for users 'behavior classification are more diverse, but it is difficult to assess the impact of specific events in different time. In this paper, the rapid predicted classification algorithm based on correlation time cognition for weibo users in specific events is proposed, which can accomplish weibo user classification according to their behavior in the short time window, so as to establish a more accurate users behavior relation network. Finally, through the experiments, it is shown that the proposed algorithm offers more powerful and robust performance than competing algorithms.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xixu He AU - Leiting Chen AU - Min Zhang PY - 2016/10 DA - 2016/10 TI - A Fast Prediction Algorithm for Sina Weibo Users with Time Correlation Cognition BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 43 EP - 51 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.6 DO - https://doi.org/10.2991/ceie-16.2017.6 ID - He2016/10 ER -