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原文連結
論文資訊
- 類型：已發表論文
- 日期：2017-12-19
摘要
We present novel metrics for analysis of weighted 社會 網絡s that focus explicitly on the distribution of edge weights at hierarchical scales from node to egonet to community and to the 網絡 as a whole. The formulae are adapted from existing measures, originally developed in the context of 族群 遺傳s to analyse variance in gene frequencies at different levels of organization. Our metrics, including 'effective degree' (by analogy to effective number of alleles), 'concentration' (by analogy to the inbreeding coefficient), 'observed' and 'expected edge weight 多樣性' (by analogy to observed and expected gene 多樣性) and F statistics allow one to partition the variance in edge weights among hierarchical levels of organization within 網絡s. They provide a quantitative method for addressing issues as diverse as 疾
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