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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Node-weighted measures for complex networks with directed and weighted edges for studying continental moisture recycling

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Autor(es):
Zemp, D. C. [1, 2] ; Wiedermann, M. [3, 1] ; Kurths, J. [3, 1, 4] ; Rammig, A. [1] ; Donges, J. F. [1, 5]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam - Germany
[2] Humboldt Univ, Dept Geog, D-12489 Berlin - Germany
[3] Humboldt Univ, Dept Phys, D-12489 Berlin - Germany
[4] Nizhnii Novgorod State Univ, Dept Control Theory, Nizhnii Novgorod 606950 - Russia
[5] Stockholm Univ, Stockholm Resilience Ctr, S-11419 Stockholm - Sweden
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: EPL; v. 107, n. 5 SEP 2014.
Citações Web of Science: 10
Resumo

In many real-world networks nodes represent agents or objects of different sizes or importance. However, the size of the nodes is rarely taken into account in network analysis, possibly inducing bias in network measures and confusion in their interpretation. Recently, a new axiomatic scheme of node-weighted network measures has been suggested for networks with undirected and unweighted edges. However, many real-world systems are best represented by complex networks which have directed and/or weighted edges. Here, we extend this approach and suggest new versions of the degree and the clustering coefficient associated to network motifs for networks with directed and/or weighted edges and weighted nodes. We apply these measures to a spatially embedded network model and a real-world moisture recycling network. We show that these measures improve the representation of the underlying systems' structure and are of general use for studying any type of complex network. Copyright (C) EPLA, 2014 (AU)

Processo FAPESP: 11/50151-0 - Fenômenos dinâmicos em redes complexas: fundamentos e aplicações
Beneficiário:Elbert Einstein Nehrer Macau
Linha de fomento: Auxílio à Pesquisa - Temático