Factors Determining Nestedness in Complex Networks

Samuel Johnson, Virginia Domínguez-García, Miguel A. Muñoz

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding the causes and effects of network structural features is a key task in deciphering complex systems. In this context, the property of network nestedness has aroused a fair amount of interest as regards ecological networks. Indeed, Bastolla et al. introduced a simple measure of network nestedness which opened the door to analytical understanding, allowing them to conclude that biodiversity is strongly enhanced in highly nested mutualistic networks. Here, we suggest a slightly refined version of such a measure of nestedness and study how it is influenced by the most basic structural properties of networks, such as degree distribution and degree-degree correlations (i.e. assortativity). We find that most of the empirically found nestedness stems from heterogeneity in the degree distribution. Once such an influence has been discounted - as a second factor - we find that nestedness is strongly correlated with disassortativity and hence - as random networks have been recently found to be naturally disassortative - they also tend to be naturally nested just as the result of chance.

Original languageEnglish
Article numbere74025
JournalPLoS ONE
Volume8
Issue number9
DOIs
Publication statusPublished - 19 Sept 2013

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • General

Fingerprint

Dive into the research topics of 'Factors Determining Nestedness in Complex Networks'. Together they form a unique fingerprint.

Cite this