Reconstructing Networks with Unknown and Heterogeneous Errors
The vast majority of network data sets contain errors and omissions, although this fact is rarely incorporated in traditional network analysis. Recently, an increasing effort has been made to fill this methodological gap by developing network-reconstruction approaches based on Bayesian inference. Th...
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| Format: | Article |
| Language: | English |
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American Physical Society
2018-10-01
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| Series: | Physical Review X |
| Online Access: | http://doi.org/10.1103/PhysRevX.8.041011 |