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Cited by 257

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Network clustering coefficient without degree-correlation biases

Soffer, Sara Nadiv, Vázquez, Alexei·2005·Physical Review E

Abstract

The clustering coefficient quantifies how well connected are the neighbors of a vertex in a graph. In real networks it decreases with the vertex degree, which has been taken as a signature of the network hierarchical structure. Here we show that this signature of hierarchical structure is a consequence of degree-correlation biases in the clustering coefficient definition. We introduce a definition in which the degree-correlation biases are filtered out, and provide evidence that in real networks the clustering coefficient is constant or decays logarithmically with vertex degree.

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Crossref · 10.1103/physreve.71.057101

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Metadata

Authors
Soffer, S. N., & Vázquez, A.
Venue
Physical Review E
Published
2005-05-13
Volume
71
Issue
5
Pages
057101-057101
ISSN
  • 1539-3755 (ISSN-L)
  • 1550-2376
OpenAlex
W2161605580
Cited by
257
References
2
FWCI
6.76
Type
journal article
Language
en
Open access
closed

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