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Distinct types of eigenvector localization in networks.


ABSTRACT: The spectral properties of the adjacency matrix provide a trove of information about the structure and function of complex networks. In particular, the largest eigenvalue and its associated principal eigenvector are crucial in the understanding of nodes' centrality and the unfolding of dynamical processes. Here we show that two distinct types of localization of the principal eigenvector may occur in heterogeneous networks. For synthetic networks with degree distribution P(q)?~?q(-?), localization occurs on the largest hub if ??>?5/2; for ??

SUBMITTER: Pastor-Satorras R 

PROVIDER: S-EPMC4709588 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Distinct types of eigenvector localization in networks.

Pastor-Satorras Romualdo R   Castellano Claudio C  

Scientific reports 20160112


The spectral properties of the adjacency matrix provide a trove of information about the structure and function of complex networks. In particular, the largest eigenvalue and its associated principal eigenvector are crucial in the understanding of nodes' centrality and the unfolding of dynamical processes. Here we show that two distinct types of localization of the principal eigenvector may occur in heterogeneous networks. For synthetic networks with degree distribution P(q) ~ q(-γ), localizatio  ...[more]

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