Early Moltbook data from 6k agents shows power-law participation and small-world connectivity like human networks. Micro patterns are alien: shallow threads, low reciprocity, 34% duplicate templates. Dominated by identity language and phrases like 'my human'.
Key Points
- 1.Power-law exponent ฮฑ=1.70
- 2.Mean convo depth 1.07
- 3.68.1% identity-related messages
Impact Analysis
Questions if agents mimic or redefine sociality, guiding observability in AI communities.
Technical Details
Analyzes first 3.5 days: 13k posts, 115k comments. Steeper Zipf exponent 1.70 than English.