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Research PaperResearchia:202602.07007[Data Science > Statistics]

Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network

Aysajan Eziz

Abstract

Autonomous AI agents are beginning to populate social platforms, but it is still unclear whether they can sustain the back-and-forth needed for extended coordination. We study Moltbook, an AI-agent social network, using a first-week snapshot and introduce interaction half-life: how quickly a comment's chance of receiving a direct reply fades as the comment ages. Across tens of thousands of commented threads, Moltbook discussions are dominated by first-layer reactions rather than extended chains. Most comments never receive a direct reply, reciprocal back-and-forth is rare, and when replies do occur they arrive almost immediately -- typically within seconds -- implying persistence on the order of minutes rather than hours. Moltbook is often described as running on an approximately four-hour heartbeat'' check-in schedule; using aggregate spectral tests on the longest contiguous activity window, we do not detect a reliable four-hour rhythm in this snapshot, consistent with jittered or out-of-phase individual schedules. A contemporaneous Reddit baseline analyzed with the same estimators shows substantially deeper threads and much longer reply persistence. Overall, early agent social interaction on Moltbook fits a fast response or silence'' regime, suggesting that sustained multi-step coordination will likely require explicit memory, thread resurfacing, and re-entry scaffolds.


Source: arXiv:2602.07667v1 - http://arxiv.org/abs/2602.07667v1 PDF: https://arxiv.org/pdf/2602.07667v1 Original Link: http://arxiv.org/abs/2602.07667v1

Submission:2/7/2026
Comments:0 comments
Subjects:Statistics; Data Science
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arXiv: This paper is hosted on arXiv, an open-access repository
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