Literature DB >> 26986351

Network nestedness as generalized core-periphery structures.

Sang Hoon Lee1.   

Abstract

The concept of nestedness, in particular for ecological and economical networks, has been introduced as a structural characteristic of real interacting systems. We suggest that the nestedness is in fact another way to express a mesoscale network property called the core-periphery structure. With real ecological mutualistic networks and synthetic model networks, we reveal the strong correlation between the nestedness and core-periphery-ness (likeness to the core-periphery structure), by defining the network-level measures for nestedness and core-periphery-ness in the case of weighted and bipartite networks. However, at the same time, via more sophisticated null-model analysis, we also discover that the degree (the number of connected neighbors of a node) distribution poses quite severe restrictions on the possible nestedness and core-periphery parameter space. Therefore, there must exist structurally interwoven properties in more fundamental levels of network formation, behind this seemingly obvious relation between nestedness and core-periphery structures.

Mesh:

Year:  2016        PMID: 26986351     DOI: 10.1103/PhysRevE.93.022306

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  3 in total

1.  Online division of labour: emergent structures in Open Source Software.

Authors:  María J Palazzi; Jordi Cabot; Javier Luis Cánovas Izquierdo; Albert Solé-Ribalta; Javier Borge-Holthoefer
Journal:  Sci Rep       Date:  2019-09-25       Impact factor: 4.379

2.  Nestedness Maximization in Complex Networks through the Fitness-Complexity Algorithm.

Authors:  Jian-Hong Lin; Claudio Juan Tessone; Manuel Sebastian Mariani
Journal:  Entropy (Basel)       Date:  2018-10-08       Impact factor: 2.524

3.  Macro- and mesoscale pattern interdependencies in complex networks.

Authors:  M J Palazzi; J Borge-Holthoefer; C J Tessone; A Solé-Ribalta
Journal:  J R Soc Interface       Date:  2019-10-30       Impact factor: 4.118

  3 in total

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