| Autor: |
Kion-Crosby WB; Department of Physics & Astronomy and Center for Quantitative Biology, Piscataway, New Jersey 08854, USA., Morozov AV; Department of Physics & Astronomy and Center for Quantitative Biology, Piscataway, New Jersey 08854, USA. |
| Jazyk: |
angličtina |
| Zdroj: |
Physical review letters [Phys Rev Lett] 2018 Jul 20; Vol. 121 (3), pp. 038301. |
| DOI: |
10.1103/PhysRevLett.121.038301 |
| Abstrakt: |
We propose a novel Bayesian methodology which uses random walks for rapid inference of statistical properties of undirected networks with weighted or unweighted edges. Our formalism yields high-accuracy estimates of the probability distribution of any network node-based property, and of the network size, after only a small fraction of network nodes has been explored. The Bayesian nature of our approach provides rigorous estimates of all parameter uncertainties. We demonstrate our framework on several standard examples, including random, scale-free, and small-world networks, and apply it to study epidemic spreading on a scale-free network. We also infer properties of the large-scale network formed by hyperlinks between Wikipedia pages. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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