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PMID: 12636753 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Hierarchical organization in complex networks.

Physical review. E, Statistical, nonlinear, and soft matter physics ·Vol. 67 ·No. 2 Pt 2 ·2003-02-00 ·Pages 026112

Ravasz E, Barabási AL

Abstract

Many real networks in nature and society share two generic properties: they are scale-free and they display a high degree of clustering. We show that these two features are the consequence of a hierarchical organization, implying that small groups of nodes organize in a hierarchical manner into increasingly large groups, while maintaining a scale-free topology. In hierarchical networks, the degree of clustering characterizing the different groups follows a strict scaling law, which can be used to identify the presence of a hierarchical organization in real networks. We find that several real networks, such as the Worldwideweb, actor network, the Internet at the domain level, and the semantic web obey this scaling law, indicating that hierarchy is a fundamental characteristic of many complex systems.

MeSH Terms
Cluster Analysis Internet Models, Theoretical Social Support Stochastic Processes
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ravasz Erzsébet
Department of Physics, 225 Nieuwland Science Hall, University of Notre Dame, Notre Dame, IN 46556, USA.
Barabási Albert-László
Article Info
Journal
Physical review. E, Statistical, nonlinear, and soft matter physics
Abbr.
Phys Rev E Stat Nonlin Soft Matter Phys
ISSN
1539-3755
Published
2003-02-00
Epub
2003-00-14
Pages
026112
Language
English
Region
United States
NLM ID
101136452
Subset
IM
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