Peng Lu

Orcid: 0000-0003-1195-1816

Affiliations:
  • Central South University China, Department of Sociology, Changsha, China
  • Tsinghua University, Department of Sociology, Beijing, China (PhD 2014)


According to our database1, Peng Lu authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Agent-based modeling of high-rise building fires reveals self-rescue behaviors and better fire protection designs.
Eng. Appl. Artif. Intell., January, 2024

2023
Online attention dynamics: The triangle framework of theory, big data and simulations.
Expert Syst. Appl., December, 2023

Modeling the warring states period: History dynamics of initial unified empire in China (475 BC to 221 BC).
Expert Syst. Appl., November, 2023

The crowd dynamics under terrorist attacks revealed by simulations of three-dimensional agents.
Artif. Intell. Rev., November, 2023

Individual heights and phase transition under crowd emergencies: Agent-based modeling from 2 to 3D.
Artif. Intell. Rev., October, 2023

History dynamics of unified empire in China (770 BC to 476 BC).
CAAI Trans. Intell. Technol., September, 2023

Social Knowledge Enhances Collective Safety: Computational Models and Simulations.
IEEE Trans. Comput. Soc. Syst., April, 2023

Agent-Based Model of Mass Campus Shooting: Comparing Hiding and Moving of Civilians.
IEEE Trans. Comput. Soc. Syst., 2023

2022
Individual behaviors, social learning, and swarm intelligence: Real case and counterfactuals.
Expert Syst. Appl., 2022

2021
Swarm intelligence, social force and multi-agent modeling of heroic altruism behaviors under collective risks.
Knowl. Based Syst., 2021

2020
Agent-based modeling and simulations of terrorist attacks combined with stampedes.
Knowl. Based Syst., 2020

2019
Heterogeneity, judgment, and social trust of agents in rumor spreading.
Appl. Math. Comput., 2019

2018
Structural effects of participation propensity in online collective actions: Based on big data and Delphi methods.
J. Comput. Appl. Math., 2018

Predicting durations of online collective actions based on Peaks' heights.
Commun. Nonlinear Sci. Numer. Simul., 2018

2017
Cost heterogeneity and peak prediction in collective actions.
Expert Syst. Appl., 2017

Individual vision and peak distribution in collective actions.
Commun. Nonlinear Sci. Numer. Simul., 2017

2016
Predicting peak of participants in collective action.
Appl. Math. Comput., 2016


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