Name
Abstract | ||
|---|---|---|
We investigate the Geom collaboration network under the random matrix theory framework. While the spectral density exhibiting triangular shape with high degeneracy at zero emphasizes on the complexity of interactions in underlying system, the spectral fluctuations provide a measure of the complexity. The short-range correlations follow the random matrix prediction, suggesting the existence of a mi... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCSS.2016.2591778 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Collaboration,Eigenvalues and eigenfunctions,Complex systems,Artificial neural networks,Complexity theory,Correlation,Social network services | Complex system,Computer science,GEOM,Degeneracy (mathematics),Spectral density,Artificial intelligence,Artificial neural network,Eigenvalues and eigenvectors,Machine learning,Random matrix,Randomness | Journal |
Volume | Issue | ISSN |
3 | 3 | 2329-924X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camellia Sarkar | 1 | 0 | 1.01 |
| Sarika Jalan | 2 | 7 | 5.18 |