Stability Analysis of Investor Emotional Propagation Model Based on SIR Model on Homogeneous Network
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@Article{JICS-15-045,
author = {Wente Liu},
title = {Stability Analysis of Investor Emotional Propagation Model Based on SIR Model on Homogeneous Network},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {15},
number = {1},
pages = {045--051},
abstract = {In the stock market, the investor's investment sentiment has a serious impact on other individual
investors. In the past, people used the infectious disease transmission model to conduct in-depth research on
the spread of various diseases. In this paper, we will use the infectious disease model. Based on and
improved, the time delay caused by information delay and the saturation rate due to people's limited social
ability are added to the homogenous network, which makes the established model more realistic. First, we
establish the goal of emotional communication. The positive sentiment-based SIR propagation model is then
proved by a series of mathematical methods to the local stability and global stability of the model. Finally,
we use the numerical simulation study to verify the results we obtained, and the results show that: When the
number of people stays in equilibrium and the information lagging factors are kept under control, the market
will remain stable.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22396.html}
}
TY - JOUR
T1 - Stability Analysis of Investor Emotional Propagation Model Based on SIR Model on Homogeneous Network
AU - Wente Liu
JO - Journal of Information and Computing Science
VL - 1
SP - 045
EP - 051
PY - 2024
DA - 2024/01
SN - 15
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22396.html
KW - investor sentiment, saturation rate, global stability, local stability
AB - In the stock market, the investor's investment sentiment has a serious impact on other individual
investors. In the past, people used the infectious disease transmission model to conduct in-depth research on
the spread of various diseases. In this paper, we will use the infectious disease model. Based on and
improved, the time delay caused by information delay and the saturation rate due to people's limited social
ability are added to the homogenous network, which makes the established model more realistic. First, we
establish the goal of emotional communication. The positive sentiment-based SIR propagation model is then
proved by a series of mathematical methods to the local stability and global stability of the model. Finally,
we use the numerical simulation study to verify the results we obtained, and the results show that: When the
number of people stays in equilibrium and the information lagging factors are kept under control, the market
will remain stable.
Wente Liu. (2024). Stability Analysis of Investor Emotional Propagation Model Based on SIR Model on Homogeneous Network.
Journal of Information and Computing Science. 15 (1).
045-051.
doi:
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