Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Modeling and Simulating of Network Public Opinion Evolution Based on Dynamic Reference Point of Prospect Theory

Authors
Jianhua Dai, Yanan Li
Corresponding Author
Jianhua Dai
Available Online June 2017.
DOI
https://doi.org/10.2991/icmia-17.2017.81How to use a DOI?
Keywords
Dynamic Reference Point. Prospect Theory. Network Public Opinion. Evolution.
Abstract
In order to better regulate the cyberspace and guide network public opinion in a right direction, forecasting the trend of network public opinion evolution has been a hotspot in recent years. Generally, netizens are often vulnerable to external factors, but more are affected by "bounded rationality" from the internal. Especially in emergencies, netizens often express their opinions on the basis of their own habits, intuition or experiences rather than searching enough information for decision-making. However, most existing quantitative analysis related to public opinion evolution focus on complete rationality of human, assuming that netizens are rational, intelligent, etc. to make perfect decisions, but it is inconsistent with the reality. Thus we introduced the dynamic reference point of Prospect Theory for constructing the modified HK model, aiming to analyze the migration of psychological reference point in the evolution of network public opinion. Compared with current common models, the proposed model, due to considering the dynamic psychological reference point under bounded rationality, is more realistic in the public opinion evolution.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.81How 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  - Jianhua Dai
AU  - Yanan Li
PY  - 2017/06
DA  - 2017/06
TI  - Modeling and Simulating of Network Public Opinion Evolution Based on Dynamic Reference Point of Prospect Theory
BT  - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.81
DO  - https://doi.org/10.2991/icmia-17.2017.81
ID  - Dai2017/06
ER  -