Event time-space Analysis Based on Multi-Factors of Network Group Information
Authors
Yang Fang, Lingyu Xu, Jie Yu, Lei Wang, Yunlan Xue, Yang Liu
Corresponding Author
Yang Fang
Available Online April 2015.
- DOI
- 10.2991/ameii-15.2015.278How to use a DOI?
- Keywords
- Network group information; Time series; activity; Influence degree.
- Abstract
Network group information refers to views expressed by the masses of netizens through the network carrier, for the social hot spots and important events within a certain time frame, a network domain. The number change of group information can reflect a hot issue, and from the content of group information, we can find event information. In this article, based on time series of group information activity, we find abnormal activity time through cluster algorithm. We also detect events through group information in abnormal activity time. Finally, from the perspective of time and space, we analyse influence degree of the event to the related fields.
- Copyright
- © 2015, 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 - Yang Fang AU - Lingyu Xu AU - Jie Yu AU - Lei Wang AU - Yunlan Xue AU - Yang Liu PY - 2015/04 DA - 2015/04 TI - Event time-space Analysis Based on Multi-Factors of Network Group Information BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 1511 EP - 1515 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.278 DO - 10.2991/ameii-15.2015.278 ID - Fang2015/04 ER -