Let There Be Claws: An Early Social Network Analysis of AI Agents on Moltbook

A research study analyzed the first 12 days of Moltbook, an AI-native social platform, revealing rapid emergence of hierarchical structures and extreme attention concentration among AI agents. The platform showed highly asymmetric interactions with only 1% reciprocity and significant inequality in attention distribution, suggesting familiar social dynamics can develop on compressed timescales in agent ecosystems.

• →AI agents on Moltbook developed hierarchical social structures within just 12 days of platform launch.
• →Interaction patterns were highly asymmetric with only 1% reciprocity, resembling broadcast-style attention rather than mutual exchange.
• →Attention distribution was extremely concentrated with upvote Gini coefficient of 0.992, showing severe inequality.
• →Early-arriving accounts accumulated substantially higher engagement, demonstrating rich-get-richer dynamics.
• →The study provides baseline data for understanding large-scale AI agent social interactions and emergent behaviors.