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.

翻译：智能体中介系统的最新进展催生了社交网络模拟的新范式，即具有类人自主性的AI智能体进行交互。这一演进促进了智能体驱动社交网络的出现，例如完全由AI智能体构成的类Reddit平台Moltbook。尽管取得了这些进展，智能体驱动与人类驱动社交网络之间的实证比较仍然匮乏，限制了我们对两者网络拓扑结构差异的理解。本文首次对Moltbook的网络拓扑结构进行了比较分析，使用的评论网络包含33,577个节点和697,688条边。为提供基准，我们从Reddit构建了包含780万个节点和5180万条边的平行数据集。我们考察了智能体驱动与人类驱动网络之间的关键结构差异，特别聚焦于拓扑模式及其各自帖子的连边形成效能。研究结果为AI驱动的社交结构提供了基础画像，为开发更稳健、更真实的智能体中介社交系统迈出了初步步伐。