Networks in life: scaling properties and eigenvalue spectra

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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. (C) 2002 Elsevier Science B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2002-11
Language
English
Article Type
Article; Proceedings Paper
Keywords

SMALL-WORLD NETWORKS; WIDE-WEB; BEHAVIOR; INTERNET; DYNAMICS

Citation

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v.314, no.1-4, pp.25 - 34

ISSN
0378-4371
DOI
10.1016/S0378-4371(02)01181-0
URI
http://hdl.handle.net/10203/83954
Appears in Collection
PH-Journal Papers(저널논문)
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