加权网络:二分类问题

R. Baggio
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引用次数: 10

摘要

这篇方法学论文的目的是探讨在复杂网络分析中,当权重被用于边值时的一个问题。通常通过设置一个阈值来消除这些权重,并仅在它们的值高于此值时才考虑存在的链接。这种做法允许使用许多软件包提供的更简单的度量标准。然而,许多通常会导致特定解释的常见网络属性可能对所使用的假设和阈值高度敏感。通过讨论一个案例,我们展示了加权网络二分类时出现的差异。我们的结论是,虽然非加权网络可以提供对某些结构属性的见解,但当有价值的关系数据可用时,这种操作对于研究许多特征和过程可能是不必要的,甚至是有害的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted networks: the issue of dichotomization
ABSTRACT The purpose of this methodological paper is to explore one issue in the analysis of complex networks when weights are used to value edges. Often these weights are removed by setting a threshold and considering the links existing only if their value is higher than this. This practice allows then using simpler metrics as provided by many software packages. However, many common network properties, which often lead to specific interpretations, can be highly sensitive to the assumptions and thresholds used. By discussing a case, we show the differences that arise when dichotomizing a weighted network. We conclude that while unweighted networks can provide insights into some structural properties, the operation can be unnecessary and even detrimental for studying many features and processes when valued relational data are available.
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