你的部落决定你的氛围：分析US专利引文网络中的本地流行度
Your Tribe Decides Your Vibe: Analyzing Local Popularity in the US Patent Citation Network
摘要：
在许多网络中，顶点的入度是其受欢迎程度的度量。过去的研究把网络作为一个整体来研究。在美国专利引文网络（USPCN）中，专利被分为类别和子类别。一个自然的问题出现了：专利如何从各种（子）类别中聚集其受欢迎程度？我们分析局部入度分布来回答这个问题。同一类别内专利的引用（入度）表明其内部受欢迎程度，而跨类别引用表明其外部受欢迎程度。我们分析了USPCN层次结构中每个级别的内部和外部深度分布，以了解专利的内部和外部受欢迎程度如何在（子）类别之间变化。我们发现，所有（子）类别有本地偏好，决定内部和外部专利的流行。不同的专利在不同的群体中受欢迎：C1、C2和C3群体可能对C1中受欢迎的专利意见不一致。一般来说，专利受欢迎程度似乎是一个高度本地化的现象，子类别（甚至不是类别）决定自己的受欢迎专利独立于其他（子）类别。
英文摘要：
In many networks, the indegree of a vertex is a measure of its popularity. Past research has studied indegree distributions treating the network as a whole. In the US Patent citation network (USPCN), patents are classified into categories and subcategories. A natural question arises: How do patents gather their popularity from various (sub)categories? We analyse local indegree distributions to answer this question. The citation (indegree) of a patent within the same category indicates its internal popularity, while a cross-category citation indicates its external popularity. We analyze the internal and external indegree distributions at each level of USPCN hierarchy to learn how the internal and external popularity of patents varies across (sub)categories. We find that all (sub)categories have local preferences that decide internal and external patents' popularities. Different patents are popular in different groups: Groups C1, C2 and C3 may not agree on popular patents in C1. In general, patent popularity appears to be a highly local phenomenon with subcategories (not even categories) deciding their own popular patents independent of the other (sub)categories.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
