Hierarchical Block Structures and High-Resolution Model Selection in Large Networks
Discovering and characterizing the large-scale topological features in empirical networks are crucial steps in understanding how complex systems function. However, most existing methods used to obtain the modular structure of networks suffer from serious problems, such as being oblivious to the stat...
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| Format: | Article |
| Language: | English |
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American Physical Society
2014-03-01
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| Series: | Physical Review X |
| Online Access: | http://doi.org/10.1103/PhysRevX.4.011047 |