Events Influence Computation on Social Media

DOI

10.2991/icence-16.2016.144How to use a DOI?

Keywords

Sina Weibo, Specific Events, Influence, Ranking List.

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/icence-16.2016.144
ID  - Zhang2016/09
ER  -