基于法学硕士的多智能体建模的社交媒体事件动态交互仿真和可视化分析

IF 3.8 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zichen Cheng , Ziyue Lin , Yihang Yang , Zhongyu Wei , Siming Chen
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引用次数: 0

摘要

随着社交媒体在信息传播中的作用日益增强,有效地模拟和分析公共事件动态已成为一个重要的研究热点。我们提出了一个交互式可视化分析系统,用于使用由大型语言模型(llm)支持的多代理模型模拟社交媒体事件。该系统通过对具有不同特征的智能体进行建模,探索智能体如何感知信息、调整情绪和立场、提供反馈以及影响事件的发展轨迹。该系统将实时交互仿真与多视角可视化相结合,使用户能够研究不同配置下的事件轨迹和关键影响因素。理论工作规范了代理属性和交互机制,支持对社交媒体行为的真实模拟。通过指标和案例研究进行评估,证明了该系统的有效性和适应性,为跨开放社交平台的公共事件分析提供了一种新颖的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactive simulation and visual analysis of social media event dynamics with LLM-based multi-agent modeling
With the increasing role of social media in information dissemination, effectively simulating and analyzing public event dynamics has become a key research focus. We present an interactive visual analysis system for simulating social media events using multi-agent models powered by large language models (LLMs). By modeling agents with diverse characteristics, the system explores how agents perceive information, adjust their emotions and stances, provide feedback, and influence the trajectory of events. The system integrates real-time interactive simulation with multi-perspective visualization, enabling users to investigate event trajectories and key influencing factors under varied configurations. Theoretical work standardizes agent attributes and interaction mechanisms, supporting realistic simulation of social media behaviors. Evaluation through indicators and case studies demonstrates the system’s effectiveness and adaptability, offering a novel tool for public event analysis across open social platforms.
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来源期刊
Visual Informatics
Visual Informatics Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.70
自引率
3.30%
发文量
33
审稿时长
79 days
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