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Erschienen in:
2023 | OriginalPaper | Buchkapitel
Delta Density: Comparison of Different Sized Networks Irrespective of Their Size
verfasst von : Jakub Plesnik, Kristyna Kubikova, Milos Kudelka
Erschienen in: Complex Networks and Their Applications XI
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Abstract
Two typical characteristics of networks are average degree and density. Both characteristics are related, but using the second one does not provide easily interpretable information when analyzing differently sized networks. This paper deals with the measurement of network density with the possibility of comparing networks of different sizes. We point out the problems of the classical approach and, in response, introduce a new measure called \(\Delta \)-density. The theoretical background of \(\Delta \)-density is accompanied by a practical application example. We use five real networks with temporal information in the experiments to analyze the evolution of \(\Delta \)-density.