Proceedings of the International Conference on Education Innovation and Social Science (ICEISS 2017)

Research on Evolution Model and Crisis Prevention and Control of New Media Public Opinion

Authors
Kongyu Yang, Ruijie Miao
Corresponding Author
Kongyu Yang
Available Online November 2017.
DOI
https://doi.org/10.2991/iceiss-17.2017.60How to use a DOI?
Keywords
Artificial immune system; Public opinion evolution model; Public opinion detection; Public opinion early warning; Public opinion crisis prevention and control
Abstract
This paper simulates the multi-layer defense mechanism of biological immune system and proposes a new media public opinion evolution model applicable to the evolution of public opinions of emergencies and crisis prevention and control, including acquisition layer, analysis layer, response layer, disposal layer and recovery layer. By integrating a variety of public opinion monitoring and analysis technologies, equipment and software development, and then designs a public opinion crisis prevention and control prototype system with adaptive evolutionary capabilities, which is multi-layer linkage combined with public opinion monitoring, public opinion detection, public opinion early warning, public opinion decision-making and public opinion situation recovery.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
International Conference on Education Innovation and Social Science (ICEISS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2017
ISBN
978-94-6252-421-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/iceiss-17.2017.60How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kongyu Yang
AU  - Ruijie Miao
PY  - 2017/11
DA  - 2017/11
TI  - Research on Evolution Model and Crisis Prevention and Control of New Media Public Opinion
BT  - International Conference on Education Innovation and Social Science (ICEISS 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-17.2017.60
DO  - https://doi.org/10.2991/iceiss-17.2017.60
ID  - Yang2017/11
ER  -