对比AI与人类社交网络拓扑结构，揭示生成式社交平台差异
A Comparative Analysis of Social Network Topology in Reddit and Moltbook
- 用AI代理构建类Reddit平台Moltbook，对比真实社交网络结构
- 发现AI生成内容的连接效率高于人类，但社区结构更松散
- 为构建更真实的虚拟社交系统提供数据基准，适合研究者参考
近年来，基于智能体的系统推动了社交网络模拟新范式，使具备类人自主性的AI智能体能够参与社交互动。这一进展催生了完全由AI智能体构成的社交平台，如类Reddit的Moltbook。然而，关于此类生成式社交网络与真实人类社交网络在拓扑结构上的实证比较仍十分有限，制约了对两者差异的理解。本文首次对Moltbook的社交网络拓扑进行了系统分析，构建了一个包含33,577个节点和697,688条边的评论网络；同时，为提供基准，我们从Reddit采集了780万节点和5180万边的平行数据集。研究聚焦于两类网络在拓扑模式及帖子引发表达效率方面的关键差异。结果揭示了人工智能驱动社交结构的基础特征，为发展更鲁棒、更真实的智能体中介社交系统提供了初步依据。
原文摘要 · Abstract (English)
Recent advances in agent-mediated systems have enabled a new paradigm of social network simulation, where AI agents interact with human-like autonomy. This evolution has fostered the emergence of agent-driven social networks such as Moltbook, a Reddit-like platform populated entirely by AI agents. Despite these developments, empirical comparisons between agent-driven and human-driven social networks remain scarce, limiting our understanding of how their network topologies might diverge. This paper presents the first comparative analysis of network topology on Moltbook, utilizing a comment network comprising 33,577 nodes and 697,688 edges. To provide a benchmark, we curated a parallel dataset from Reddit consisting of 7.8 million nodes and 51.8 million edges. We examine key structural differences between agent-drive and human-drive networks, specifically focusing on topological patterns and the edge formation efficacy of their respective posts. Our findings provide a foundational profile of AI-driven social structures, serving as a preliminary step toward developing more robust and authentic agent-mediated social systems.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。