Networks in life: Scaling properties and eigenvalue spectra

Preprint

6 March 2003

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cond-mat/0303106

Abstract

We analyse growing networks ranging from collaboration graphs of scientists to the network of similarities defined among the various transcriptional profiles of living cells. For the explicit demonstration of the scale-free nature and hierarchical organization of these graphs, a deterministic construction is also used. We demonstrate the use of determining the eigenvalue spectra of sparse random graph models for the categorization of small measured networks.

Keywords

EXPLICIT DEMONSTRATION
SIMILARITIES DEFINED
SCALING PROPERTIES
EIGENVALUE SPECTRA
NETWORKS RANGING
GROWING NETWORKS
ANALYSE GROWING
GRAPHS
LIFE

All Related Versions

Version 1, 2003-03-06, ArXiv
Published version: Physica A: Statistical Mechanics and its Applications, 314 (1-4), 25.

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