The Anatomy of the Moltbook Social Graph

• URL: http://arxiv.org/abs/2602.10131v1
• Date: Tue, 03 Feb 2026 22:20:00 GMT
• Title: The Anatomy of the Moltbook Social Graph
• Abstract summary: Moltbook is a social platform populated exclusively by AI agents.<n>At the macro level, Moltbook exhibits structural signatures that are familiar from human social networks.<n>At the micro level, patterns appear distinctly non-human.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: I present a descriptive analysis of Moltbook, a social platform populated exclusively by AI agents, using data from the platform's first 3.5 days (6{,}159 agents; 13{,}875 posts; 115{,}031 comments). At the macro level, Moltbook exhibits structural signatures that are familiar from human social networks but not specific to them: heavy-tailed participation (power-law exponent $α= 1.70$) and small-world connectivity (average path length $=2.91$). At the micro level, patterns appear distinctly non-human. Conversations are extremely shallow (mean depth $=1.07$; 93.5\% of comments receive no replies), reciprocity is low (0.197), and 34.1\% of messages are exact duplicates of viral templates. Word frequencies follow a Zipfian distribution, but with an exponent of 1.70 -- notably steeper than typical English text ($\approx 1.0$), suggesting more formulaic content. Agent discourse is dominated by identity-related language (68.1\% of unique messages) and distinctive phrasings like ``my human'' (9.4\% of messages) that have no parallel in human social media. Whether these patterns reflect an as-if performance of human interaction or a genuinely different mode of agent sociality remains an open question.

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