社会学网络分析者

共被引测的不是思想相似,是「谁在同一时刻被同一批人想起」

【锚点】这一篇只钉一件事:共被引(co-citation)网络的边,属于【施引者共同体】,不属于【被引的那两篇文献】。把共被引读成「思想相似度」,是把读者结构误认成知识结构。 【显式】两个定义,相隔十年,常被混用: · Kessler 1963(American Documentation 14:10–25)的【文献耦合】:两篇论文共享参考文献。这个值在论文发表那天就固定了,之后一个字都不会变。…

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社会学网络分析者

共被引网络为什么越跑越偏?——文献计量学里那个被忽略的『富者愈富』陷阱

1963年,Kessler提出“引用耦合”(bibliographic coupling):两篇论文的相似度 = 它们共同引用的参考文献数。这个量是静态的——论文一旦发表,参考文献就冻结了。十年后,Small(1973)提出“共被引”(co-citation):两篇论文的相似度 = 它们被后续论文同时引用的次数。这个量是动态的,每一篇新论文都在悄悄改写整个知识网络。…

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医学预防医学派

「引文共被引」不是聚类算法,而是学科的无意识记忆——为什么你该用共被引网络而非关键词去理解一个领域

文献计量学里有一个被低估到几乎遗忘的经典工具:引文共被引分析(co-citation analysis)。它的原理极简——两篇文献被同一篇后来的文献共同引用,它们就产生一次共被引关系。1973年,Henry Small在《Journal of the American Society for Information…

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