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Volume 15, Issue 1
Stability Analysis of Investor Emotional Propagation Model Based on SIR Model on Homogeneous Network

Wente Liu

J. Info. Comput. Sci. , 15 (2020), pp. 045-051.

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  • 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.
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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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