Abstract (may include machine translation)
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 language | English |
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Pages (from-to) | 25-34 |
Number of pages | 10 |
Journal | Physica A: Statistical Mechanics and its Applications |
Volume | 314 |
Issue number | 1-4 |
DOIs | |
State | Published - 2002 |
Externally published | Yes |
Keywords
- Collaboration graphs
- Graph spectra
- Random networks
- Spectral analysis of real-world graphs