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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Zemp, D. C. [1, 2] ; Wiedermann, M. [1, 3] ; Kurths, J. [3, 1, 4] ; Rammig, A. [1] ; Donges, J. F. [1, 5]
Total Authors: 5
[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
Total Affiliations: 5
Document type: Journal article
Source: EPL; v. 107, n. 5 SEP 2014.
Web of Science Citations: 11

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)

FAPESP's process: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants