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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 and T Vicsek

Physica A: Statistical Mechanics and its Applications, 2002, vol. 314, issue 1, 25-34

Abstract: 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.

Keywords: Random networks; Collaboration graphs; Graph spectra; Spectral analysis of real-world graphs (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:314:y:2002:i:1:p:25-34

DOI: 10.1016/S0378-4371(02)01181-0

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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