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Hierarchical organization in complex networks

Erzsébet Ravasz ReganAlbert-Ĺaszló Barabási

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.

Complex Network Analysis TechniquesOpinion Dynamics and Social InfluencePeer-to-Peer Network TechnologiesHierarchical network modelHierarchyHierarchical organizationComplex networkComputer scienceHierarchical clusteringScale-free networkClustering coefficientTheoretical computer scienceScaling

MeSH terms

Models, TheoreticalSocial SupportStochastic ProcessesCluster AnalysisInternet
Citations
2,152
FWCI
59.83
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References
47
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