| dc.contributor.author | Bandyopadhyay, Debashis | |
| dc.date.accessioned | 2024-02-09T11:08:23Z | |
| dc.date.available | 2024-02-09T11:08:23Z | |
| dc.date.issued | 2009-09 | |
| dc.identifier.uri | https://iopscience.iop.org/article/10.1209/0295-5075/87/48010/meta | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14173 | |
| dc.description.abstract | We analyze complex networks under the random matrix theory framework. Particularly, we show that Δ3 statistics, which gives information about the long-range correlations among eigenvalues, provides a measure of randomness in networks. As networks deviate from the regular structure, Δ3 follows the random matrix prediction of logarithmic behavior (i.e., ) for longer scale. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IOP | en_US |
| dc.subject | Physics | en_US |
| dc.subject | Random Matrix Theory (RMT) | en_US |
| dc.subject | Random networks | en_US |
| dc.title | Randomness of random networks: A random matrix analysis | en_US |
| dc.type | Article | en_US |
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