Bluesky入门包的结构、主题与扩散效应
Structure, Topics, and Diffusion Effects of Bluesky Starter Packs
AI总结：
本文对Bluesky的5万多个入门包及60多万关联用户展开大规模实证分析，刻画其结构、主题与扩散效应，发现入门包形成互联生态，纳入入门包会显著增加短期转发活动。
AI中文摘要：
用户发现是在线社交平台的核心挑战，尤其在用户入职阶段。Bluesky是基于AT协议构建的去中心化微博平台，推出了入门包：用户可一键关注的精选账户集合，用于搭建社交网络。本文对5万多个英语入门包及60多万关联用户展开大规模实证分析，刻画其结构组织、主题构成及对内容扩散的影响。结果显示，入门包形成高度互联的生态系统，各包间存在大量重叠，基本反映既有社区；主题建模揭示其分布偏斜，以自动生成的个人包为主，辅以多个主题社区，这些社区结构属性相似但采用模式显著不同；最后，匹配事件研究分析表明，被纳入入门包与短期转发活动大幅增加密切相关。
英文摘要：
User discovery is a central challenge in online social platforms, particularly during onboarding. Bluesky, a decentralized microblogging platform built on the AT Protocol, introduced starter packs: curated collections of accounts that users can follow in a single action to bootstrap their social network. In this paper, we present a large-scale empirical analysis of more than 50,000 English-language starter packs and over 600,000 associated users. We characterize their structural organization, topical composition, and impact on content diffusion. Our results show that starter packs form a highly interconnected ecosystem with substantial overlap across packs that largely reflects pre-existing communities. Topic modeling reveals a skewed landscape dominated by automatically generated personal packs alongside several thematic communities, which exhibit similar structural properties but markedly different adoption patterns. Finally, a matched event-study analysis shows that inclusion in a starter pack is strongly associated with a substantial increase in short-term repost activity.
