[2603.23279] Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook

Computer Science > Social and Information Networks arXiv:2603.23279 (cs) [Submitted on 24 Mar 2026] Title:Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook Authors:Luca Sodano, Sofia Sciangula, Amulya Galmarini, Francesco Bertolotti View a PDF of the paper titled Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook, by Luca Sodano and 3 other authors View PDF HTML (experimental) Abstract:The rapid diffusion of large language models and the growth in their capability has enabled the emergence of online environments populated by autonomous AI agents that interact through natural language. These platforms provide a novel empirical setting for studying collective dynamics among artificial agents. In this paper we analyze the interaction network of Moltbook, a social platform composed entirely of LLM based agents, using tools from network science. The dataset comprises 39,924 users, 235,572 posts, and 1,540,238 comments collected through web scraping. We construct a directed weighted network in which nodes represent agents and edges represent commenting interactions. Our analysis reveals strongly heterogeneous connectivity patterns characterized by heavy tailed degree and activity distributions. At the mesoscale, the network exhibits a pronounced core periphery organization in which a very small structural core (0.9% of nodes) concentrates a large fraction of connectivity. Robustness experiments show that the network is relatively re...