发表机构
isti.cnr.it（意大利国家研究委员会信息系统研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究基于Bluesky平台1.73亿互动数据，发现74.5%注意力来自已关注账户，网络外探索受网络邻近性约束且转化为新关注的比例低。
AI 中文摘要
个性化社交媒体通常依赖显式的关注图来塑造用户看到的内容；然而，有多少注意力跨越了用户未建立的社交联系，在规模化层面仍 largely 未被记录。我们在 Bluesky 上研究这一问题，这是一个大型去中心化微博平台，其默认信息流依赖一个简单的、逆时间顺序的内容推荐器。我们分析了从 2023 年 2 月至 9 月期间，从近乎完整的平台数据转储中收集的 1.73 亿条用户-作者互动（点赞、转发、回复和引用）。我们根据注意力路径长度（已关注、由已关注账户转发、在两个关注跳数内可达、或更远）对每次互动进行分解，发现 74.5% 的互动通过用户已关注的账户到达用户。按关注图中的距离而非路径衡量，80.6% 的互动落在两个关注跳数以内，远高于预期度零模型预测的 22.4%。然后，我们描述了探索如何在不同用户和不同使用时长中变化。一个覆盖面广泛的少数群体产生了所有探索活动的四分之三，而随使用时长增加的总体探索下降掩盖了三种不同的个体轨迹。最后，超出两个跳数到达的注意力转化为新的关注关系的比率，不到两跳内局部探索性注意力的三分之一。综合来看，这些结果描绘了一个平台，其中网络外探索在数量上可观，但受到网络邻近性的强烈约束，且不太可能转化为新的社交关系。
英文摘要
Personalized social media commonly relies on explicit follow graphs to shape what content users encounter; yet how much attention crosses ties they have not formed remains largely undocumented at scale. We study this question on Bluesky, a large decentralized microblogging platform whose default feed relies on a simple, reverse-chronological content recommender. We analyze 173 million user-author interactions (likes, reposts, replies, and quotes) collected from a near-complete platform dump between February and September 2023. We decompose each interaction by attention-path length (already followed, relayed by a followed account, reachable within two follow-hops, or beyond) and find that 74.5% of interactions reach the user through an account they already follow. Measured by distance in the follow graph rather than by route, 80.6% of interaction lands within two follow hops, far beyond the 22.4% an expected-degree null predicts. We then characterize how exploration varies across users and over tenure. A broad-reaching minority generates three quarters of all exploratory activity, while aggregate declines in exploration with tenure mask three distinct individual trajectories. Finally, attention reaching beyond two hops converts into new follow ties at less than one third the rate of two-hop-local exploratory attention. Together, these results depict a platform where out-of-network exploration is substantial in volume but strongly constrained by network proximity and unlikely to translate into new social ties.
CommentsAccepted at Int. Conf. on Complex Networks and their Applications 2026
