关于认知距离多维度测量的注记与修正
A note and a correction on measuring cognitive distance in multiple dimensions
摘要：
在之前的一篇文章（Rahman，Guns，Rousseau和Engels，2015）中，我们描述了几种确定两个单位之间认知距离的方法。其中一种方法是基于我们所谓的N维重心。本说明纠正了这一术语，并采用了更恰当的术语“相似性适应的发布向量”。此外，我们纠正了归一化中的错误，并解释了尺度不变性在确定认知距离中的重要性。我们还认为加权余弦相似性作为一种替代方法来确定认知（DIS）相似性。总的来说，我们发现这三种方法（重心之间的距离，相似性适应的发布向量之间的距离，和加权余弦相似性）产生非常相似的结果。
英文摘要：
In a previous article (Rahman, Guns, Rousseau, and Engels, 2015) we described several approaches to determine the cognitive distance between two units. One of these approaches was based on what we called barycenters in N dimensions. The present note corrects this terminology and introduces the more adequate term 'similarity-adapted publication vectors'. Furthermore, we correct an error in normalization and explain the importance of scale invariance in determining cognitive distance. We also consider weighted cosine similarity as an alternative approach to determine cognitive (dis)similarity. Overall, we find that the three approaches (distance between barycenters, distance between similarity-adapted publication vectors, and weighted cosine similarity) yield very similar results.
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。
