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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.)

A random interacting network model for complex networks

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Author(s):
Goswami, Bedartha [1] ; Shekatkar, Snehal M. [2] ; Rheinwalt, Aljoscha [1, 3] ; Ambika, G. [2] ; Kurths, Juergen [4, 5, 1, 6]
Total Authors: 5
Affiliation:
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam - Germany
[2] Indian Inst Sci Educ & Res, Pune 411008, Maharashtra - India
[3] Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam - Germany
[4] Humboldt Univ, Dept Phys, D-12489 Berlin - Germany
[5] Univ Aberdeen, Inst Complex Syst & Math Biol, Aberdeen AB24 3UE - Scotland
[6] Nizhnii Novgorod State Univ, Dept Control Theory, Nizhnii Novgorod 603950 - Russia
Total Affiliations: 6
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 5, DEC 11 2015.
Web of Science Citations: 1
Abstract

We propose a RAndom Interacting Network (RAIN) model to study the interactions between a pair of complex networks. The model involves two major steps: (i) the selection of a pair of nodes, one from each network, based on intra-network node-based characteristics, and (ii) the placement of a link between selected nodes based on the similarity of their relative importance in their respective networks. Node selection is based on a selection fitness function and node linkage is based on a linkage probability defined on the linkage scores of nodes. The model allows us to relate within-network characteristics to between-network structure. We apply the model to the interaction between the USA and Schengen airline transportation networks (ATNs). Our results indicate that two mechanisms: degree-based preferential node selection and degree-assortative link placement are necessary to replicate the observed inter-network degree distributions as well as the observed inter-network assortativity. The RAIN model offers the possibility to test multiple hypotheses regarding the mechanisms underlying network interactions. It can also incorporate complex interaction topologies. Furthermore, the framework of the RAIN model is general and can be potentially adapted to various real-world complex systems. (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