Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Research on the Severity Assessment of Unexpected Events Based on the Web Information

Authors
Huali Cai, Fang Wu, Yawei Jiang, Qi Duan, Jian Kang
Corresponding Author
Huali Cai
Available Online August 2016.
DOI
10.2991/cset-16.2016.76How to use a DOI?
Keywords
Web information, severity assessment, unexpected event
Abstract

A method of assessing the severity of unexpected events was proposed. The assessment indexes included five aspects, such as media coverage, degree of public concern, influence sphere, influenced groups and consequence of event. And then the assessment method and representation for the assessment was given.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
10.2991/cset-16.2016.76How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Huali Cai
AU  - Fang Wu
AU  - Yawei Jiang
AU  - Qi Duan
AU  - Jian Kang
PY  - 2016/08
DA  - 2016/08
TI  - Research on the Severity Assessment of Unexpected Events Based on the Web Information
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 328
EP  - 330
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.76
DO  - 10.2991/cset-16.2016.76
ID  - Cai2016/08
ER  -