Events Influence Computation on Social Media
- https://doi.org/10.2991/icence-16.2016.144How to use a DOI?
- Sina Weibo, Specific Events, Influence, Ranking List.
Up to now, as the most popular and widely used domestic social media mobile application with the most registered users, Sina Weibo has become the main platform of growing numbers of hot events occurring and spreading. This paper aims at the demand for analyzing specific events on Sina Weibo for public opinions, proposing a model for computing influence of Weibo users, Weibo messages, and whole Weibo events, utilizing content attributes, dissemination attributes and sentiment attributes of Weibo comprehensively. Based on dissemination features of public opinions and research experience of Weibo events, scientific and comprehensive features for building the model are selected. Being the main outcome of the model, ranking lists of influential users, Weibo messages, and hot events' influence provide technical support for public opinion surveillance on Weibo.
- © 2016, 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 - Yu Zhang AU - Min Yu AU - Yueying He AU - Zhonghua Zhao AU - Yang Qiao AU - Hua-Ping Zhang AU - Jianyun Shang PY - 2016/09 DA - 2016/09 TI - Events Influence Computation on Social Media BT - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) PB - Atlantis Press SP - 776 EP - 783 SN - 2352-538X UR - https://doi.org/10.2991/icence-16.2016.144 DO - https://doi.org/10.2991/icence-16.2016.144 ID - Zhang2016/09 ER -