Jingrui Wang

Jingrui Wang

A PhD student who is pursuing his career in Computational Social Science.

Posts by Collection

portfolio

publications

The spread of epidemic under voluntary vaccination with heterogeneous infection rates

Published in International Journal of Modern Physics C, 2021

Here, we propose an improved SIS model with heterogeneity in infection rates, proportional to the degree of nodes. By conducting simulations, we illustrate that almost all vaccinated nodes have high degrees when the infection rate is positively correlated with the degree of a node.
I am the first author of this paper.

Recommended citation: Wang J, Jin X, Yang Y, et al. The spread of epidemic under voluntary vaccination with heterogeneous infection rates[J]. International Journal of Modern Physics C, 2021, 32(03): 2150037. https://www.worldscientific.com/doi/abs/10.1142/S0129183121500376

Impact of strategy conformity on vaccination behaviors

Published in Frontiers in Physics, 2022

A novel utility model of the vaccination game is first formulated in which the influence of strategy conformity is considered. Then, we use the spatial evolutionary game theory to study the dynamics of individual vaccination strategies under the influence of strategy conformity on the scale-free network.
In particular, the first author of this article is my supervisor, and I am the second author.

Recommended citation: An T, Wang J, Zhou B, et al. Impact of strategy conformity on vaccination behaviors[J]. Frontiers in Physics, 2022: 735. https://www.frontiersin.org/articles/10.3389/fphy.2022.972457/full

A machine learning-based approach to ERα bioactivity and drug ADMET prediction

Published in Frontiers in Genetics, 2023

The quantitative prediction model of ER$\alpha$ bioactivity and classification prediction model of Absorption, Distribution, Metabolism, Excretion, Toxicity properties were constructed. The prediction results of ER$\alpha$ bioactivity were compared by XGBoot, Light GBM, Random Forest and MLP neural network. Two models with high prediction accuracy were selected and fused to obtain ER$\alpha$ bioactivity prediction model from Mean absolute error (MAE), mean squared error (MSE) and R2.
This paper is the conversion result of the article that won the national third prize in the 18th Huawei Cup Mathematical Contest in Modeling.

Recommended citation: An T, Chen Y, Chen Y, et al. A machine learning-based approach to ERα bioactivity and drug ADMET prediction[J]. Frontiers in Genetics, 2022, 13. https://www.frontiersin.org/articles/10.3389/fgene.2022.1087273/full

Temporal-spatial perception adjustment to fitness enhances the cooperation in the spatial prisoner’s dilemma game

Published in Frontiers in Physics, 2023

The exploration of real-world cooperative behavior is essential for societal development. In real life, the surrounding social environment and past experiences often influence individuals’ assessment of their self-fitness. Based on this phenomenon, we propose a novel model that explores the effect of subjective human perceptions on the evolution of cooperation, combining temporal and spatial dimensions into individual fitness. In this model, strategy persistence is used as a proxy for the temporal dimension. Strategy popularity, on the other hand, is portrayed to characterize the subjective influence of the spatial dimension.
This paper is produced by the undergraduate students under the guidance of the research group.

Recommended citation: Ying X, Wang J, Jin X, et al. Temporal-spatial perception adjustment to fitness enhances the cooperation in the spatial prisoner’s dilemma game[J]. Frontiers in Physics, 2023, 11: 389. https://www.frontiersin.org/articles/10.3389/fphy.2023.1200506/full?utm_source=dlvr.it&utm_medium=twitter

The Evolution of Cooperation in Multigames with Uniform Random Hypergraphs

Published in Mathematics, 2023

How to explain the emergence of cooperative behavior remains a significant problem. As players may hold diverse perceptions on a particular dilemma, the concept of multigames has been introduced. Therefore, a multigame is studied within various binary networks. Since group structures are common in human society and a person can participate in multiple groups, this paper studies an evolutionary multigame with high-order interaction properties.
This paper is produced by the undergraduate students under the guidance of the research group. I am the second corresponding author.

Recommended citation: Xu H, Zhang Y, Jin X, et al. The Evolution of Cooperation in Multigames with Uniform Random Hypergraphs[J]. Mathematics, 2023, 11(11): 2409. https://www.mdpi.com/2227-7390/11/11/2409

Strategic use of payoff information in k-hop evolutionary Best-shot networked public goods game

Published in Applied Mathematics and Computation, 2023

Globalization has led to increasingly interconnected interactions among individuals. Their payoffs are affected by the investment decision of themselves and their neighbors, which will cause conflicting interests between individual and social investment. Such problems can be modeled as a networked public goods game (NPGG). In this paper, we study the Best-shot NPGG model by introducing three mechanisms: k-hop, payoff information use strategy, and access cost.
I am the first corresponding author.

Recommended citation: Jin X, Tao Y, Wang J, et al. Strategic use of payoff information in k-hop evolutionary Best-shot networked public goods game[J]. Applied Mathematics and Computation, 2023, 459: 128271. https://www.sciencedirect.com/science/article/pii/S009630032300440X

Subsidy policy with punishment mechanism can promote voluntary vaccination behaviors in structured populations

Published in Chaos, Solitons & Fractals, 2023

Subsidy policies have been a common way for governments and health organizations to encourage individuals’ voluntary vaccination behaviors. However, subsidy policies are often used in combination with punishment policies in reality. In this study, a new subsidy policy with the punishment mechanism (P-TAR) is first introduced in the vaccination game to explore its impact on voluntary vaccination behaviors.
I am the first author of this paper.

Recommended citation: Wang J, Zhang H, Jin X, et al. Subsidy policy with punishment mechanism can promote voluntary vaccination behaviors in structured populations[J]. Chaos, Solitons & Fractals, 2023, 174: 113863. https://www.sciencedirect.com/science/article/abs/pii/S0960077923007646

talks

teaching

Python for Data Science

Summer tutorial course of Graduate, Hangzhou Dianzi University, School of Management, 2022

The course is aimed at incoming graduate management students. With the background of computational social science, various practical computational methods are introduced to the students with specific management research cases, including python, data processing, data science and machine learning, with specific management practical research cases.