Assortative mixing in close-packed spatial networks.

ABSTRACT:

Background

In recent years, there is aroused interest in expressing complex systems as networks of interacting nodes. Using descriptors from graph theory, it has been possible to classify many diverse systems derived from social and physical sciences alike. In particular, folded proteins as examples of self-assembled complex molecules have also been investigated intensely using these tools. However, we need to develop additional measures to classify different systems, in order to dissect the underlying hierarchy.

Methodology and principal findings

In this study, a general analytical relation for the dependence of nearest neighbor degree correlations on degree is derived. Dependence of local clustering on degree is shown to be the sole determining factor of assortative versus

SUBMITTER: Turgut D 

PROVIDER: S-EPMC3002975 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature