Macro- and mesoscale pattern interdependencies in complex networks

Autor: Claudio J. Tessone, Javier Borge-Holthoefer, María J. Palazzi, Albert Solé-Ribalta
Přispěvatelé: University of Zurich, Solé-Ribalta, Albert, Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3), Universität Zürich
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Theoretical computer science
1303 Biochemistry
Computer science
Algorismes
Biochemistry
xarxes complexes
10004 Department of Business Administration
xarxes ecològiques
Macro
modularity
Algoritmos
mesoescala
complex networks
mesoscale
Complex network
redes ecológicas
modularidad
mesoscala
330 Economics
1305 Biotechnology
Nestedness
Algorithms
Biotechnology
Research Article
Ecology (disciplines)
nestedness
Biomedical Engineering
Biophysics
2204 Biomedical Engineering
Bioengineering
UFSP13-1 Social Networks
modularitat
Models
Biological

Biomaterials
anidamiento
ecological networks
Ecosystem
Modularity (networks)
1502 Bioengineering
business.industry
2502 Biomaterials
Life Sciences–Physics interface
Modular design
Ecological network
anidament
in-block nestedness
Organizational patterns
business
redes complejas
1304 Biophysics
Zdroj: Journal of the Royal Society Interface
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
DOI: 10.5167/uzh-185478
Popis: Identifying and explaining the structure of complex networks at different scales has become an important problem across disciplines. At the mesoscale, modular architecture has attracted most of the attention. At the macroscale, other arrangements—e.g. nestedness or core–periphery—have been studied in parallel, but to a much lesser extent. However, empirical evidence increasingly suggests that characterizing a network with a unique pattern typology may be too simplistic, since a system can integrate properties from distinct organizations at different scales. Here, we explore the relationship between some of these different organizational patterns: two at the mesoscale (modularity and in-block nestedness); and one at the macroscale (nestedness). We show experimentally and analytically that nestedness imposes bounds to modularity, with exact analytical results in idealized scenarios. Specifically, we show that nestedness and modularity are interdependent. Furthermore, we analytically evidence that in-block nestedness provides a natural combination between nested and modular networks, taking structural properties of both. Far from a mere theoretical exercise, understanding the boundaries that discriminate each architecture is fundamental, to the extent that modularity and nestedness are known to place heavy dynamical effects on processes, such as species abundances and stability in ecology.
Databáze: OpenAIRE