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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020
摘要
Many natural, engineered, and 社會 systems can be represented using the framework of a layered 網絡, where each layer captures a different type of interaction between the same set of nodes. The study of such multiplex 網絡s is a vibrant area of research. Yet, understanding how to quantify the correlations present between pairs of layers, and more so present in their co-演化, is lacking. Such methods would enable us to address fundamental questions involving issues such as function, redundancy and potential disruptions. Here we show first how the edge-set of a multiplex 網絡 can be used to construct an estimator of a joint probability distribution describing edge existence over all layers. We then adapt an 資訊-theoretic measure of general correlation called the conditional mutual 資訊, which uses the es
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