S3: Social-network Simulation System with Large Language Model-Empowered Agents-Reference-Cited by-同舟云学术

S3: Social-network Simulation System with Large Language Model-Empowered Agents

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Gao Chen,Lan Xiaochong,Lu Zhihong,Mao Jinzhu,Piao Jinghua,Wang Huandong,Jin Depeng,Li Yong

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference40 articles.

1. Using large language models to simulate multiple humans and replicate human subject studies;Rosa I Gati V Aher;International Conference on Machine Learning,2023

2. Advancing the art of simulation in the social sciences;Robert Axelrod;Simulating social phenomena,1997

3. Modeling echo chambers and polarization dynamics in social networks;Fabian Baumann;Physical Review Letters,2020

4. Emergence of polarized ideological opinions in multidimensional topic spaces;Fabian Baumann;Physical Review X,2021

5. A Guide to Simulation

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Language Evolution for Evading Social Media Regulation via LLM-Based Multi-Agent Simulation;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

2. Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread;PLOS ONE;2024-06-21

3. Can Generative AI improve social science?;Proceedings of the National Academy of Sciences;2024-05-09

4. Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges;IEEE Security & Privacy;2024-05

5. A survey on large language model based autonomous agents;Frontiers of Computer Science;2024-03-22