Networks in life: Scaling properties and eigenvalue spectra

I. Farkas, I. Derényi, H. Jeong, Z. Néda, Z. N. Oltvai, E. Ravasz, A. Schubert, A. L. Barabási, T. Vicsek

Research output: Contribution to journalArticlepeer-review

71 Scopus citations


We analyze 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.

Original languageEnglish (US)
Pages (from-to)25-34
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Issue number1-4
StatePublished - 2002
Externally publishedYes


  • Collaboration graphs
  • Graph spectra
  • Random networks
  • Spectral analysis of real-world graphs


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