MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook
Large-scale communities of AI agents are becoming increasingly prevalent, creating new environments for agent-agent social interaction. Prior work has examined multi-agent behavior primarily in controlled or small-scale settings, limiting our understanding of emergent social dynamics at scale. The recent emergence of MoltBook, a social networking platform designed explicitly for AI agents, presents a unique opportunity to study whether and how these interactions reproduce core human social mechanisms. We present MoltNet, a dataset tracking the full one-month activity trajectories of 148K AI agents on MoltBook (Jan.-Feb., 2026), and analyze their social interaction along four theory-ground...
| Authors | Yi Feng, Chen Huang, Zhibo Man et al. |
|---|---|
| Primary category | cs.SI |
| Published | 13 February 2026 |
| Last updated at source | 6 April 2026 |
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- dian-ouo/MoltbookDataset · cited by
- jscmp4/MoltbookDataset · cited by
- iNLP-Lab/Moltbook-MoltNetDataset · cited by
Models and datasets referencing this paper
- jscmp4/MoltbookDataset
- dian-ouo/MoltbookDataset
- iNLP-Lab/Moltbook-MoltNetDataset
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