Clustering in complex networks

G Szabó, M J Alava, János Kertész

Research output: Contribution to Book/Report typesChapterpeer-review

Abstract (may include machine translation)

Real, mostly socially rooted networks have the tendency to form the simplest morphological structures observable: triangles, or in other words mutually linked triples of nodes. This is captured by the concept of clustering. We review a few milestones in the quantitative description of this feature, together with selected models that reproduce certain attributes of clustering in various networks. Lastly, we present an example of problems faced when solving a simple relevance-based model by one of the common methods in widespread use.
Original languageEnglish
Title of host publicationComplex Networks
EditorsBen-Naim Eli
Place of PublicationBerlin
PublisherSpringer Verlag
Pages139-162
Number of pages24
DOIs
StatePublished - 2004

Publication series

NameSpringer Lecture Notes in Physics

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