Measuring degree-degree association in networks.
- Raschke M Laboratory for Safety Analysis, ETH Zurich, CH-8092 Zurich, Switzerland.
- Schläpfer M
- Nibali R
- 2011-01-15
Published in:
- Physical review. E, Statistical, nonlinear, and soft matter physics. - 2010
English
The Pearson correlation coefficient is commonly used for quantifying the global level of degree-degree association in complex networks. Here, we use a probabilistic representation of the underlying network structure for assessing the applicability of different association measures to heavy-tailed degree distributions. Theoretical arguments together with our numerical study indicate that Pearson's coefficient often depends on the size of networks with equal association structure, impeding a systematic comparison of real-world networks. In contrast, Kendall-Gibbons' τ{b} is a considerably more robust measure of the degree-degree association.
- Language
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- English
- Open access status
- green
- Identifiers
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- DOI 10.1103/PhysRevE.82.037102
- PMID 21230212
- Persistent URL
- https://sonar.ch/global/documents/154740
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