Critical thresholds in co-citation graphs
Critical thresholds in co-citation graphs
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同被引图中的关键阈值
DOI：
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发表时间：
1985
期刊：
影响因子：
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通讯作者：
W. M. Shaw
中科院分区：
文献类型：
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作者：
W. M. Shaw
使用随机图假设，共引图的统计有效性已经被研究为共引强度的函数，对于给定的引用频率值。结果表明，对于高和低的共引强度值，由共引关系产生的被引文献的划分可能是统计无效的。可以确定定义统计有效性限度的关键阈值。在这些限制内，存在统计有效性的狭窄区域，其中相关联的结构不是聚类过程的伪影并且可以被解释。它的结论是，引文和共引阈值的选择可以受到形式上的考虑，确保统计上有意义的分区，而不是任意的决定，可以产生无意义的解释。讨论了共引图和其他文献计量结构的实验和理论影响。
Using the Random Graph Hypothesis, the statistical validity of co‐citation graphs has been investigated as a function of co‐citation strength for a given value of citation frequency. The results show that for both high and low values of co‐citation strength the partition of cited documents produced by the co‐citation relationship may be statistically invalid. Critical thresholds can be identified that define the limits of statistical validity. Within these limits, there is a narrow region of statistical validity where the associated structures are not an artifact of the clustering procedure and can be interpreted. It is concluded that the choice of citation and co‐citation thresholds can be influenced by formal considerations which insure statistically meaningful partitions rather than arbitrary decisions which can produce meaningless interpretations. Experimental and theoretical implications for the co‐citation graph and other bibliometric structures are discussed.