Generalizations of the clustering coefficient to weighted complex networks

Jari Saramäki*, Mikko Kivelä, Jukka Pekka Onnela, Kimmo Kaski, János Kertész

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

The recent high level of interest in weighted complex networks gives rise to a need to develop new measures and to generalize existing ones to take the weights of links into account. Here we focus on various generalizations of the clustering coefficient, which is one of the central characteristics in the complex network theory. We present a comparative study of the several suggestions introduced in the literature, and point out their advantages and limitations. The concepts are illustrated by simple examples as well as by empirical data of the world trade and weighted coauthorship networks.

Original languageEnglish
Article number027105
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Volume75
Issue number2
DOIs
StatePublished - 23 Feb 2007
Externally publishedYes

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