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Hierarchical Block Structures and High-Resolution Model Selection in Large Networks
Tiago P. Peixoto, 2014. Physical Review X.
Develops a nested stochastic block model that finds communities in large networks at several levels at once and chooses the model by statistical inference.
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The inductive-methods survey proposes stochastic block models of word co-occurrence and succession (G1), citing this paper.
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Cite it
Peixoto, T. P. (2014). Hierarchical Block Structures and High-Resolution Model Selection in Large Networks. Physical Review X. https://doi.org/10.1103/physrevx.4.011047
@article{peixoto2014hierarchical,
author = {Peixoto, Tiago P.},
title = {Hierarchical Block Structures and High-Resolution Model Selection in Large Networks},
journal = {Physical Review X},
year = {2014},
doi = {10.1103/physrevx.4.011047},
url = {https://doi.org/10.1103/physrevx.4.011047}
}TY - JOUR TI - Hierarchical Block Structures and High-Resolution Model Selection in Large Networks AU - Peixoto, Tiago P. PY - 2014 JO - Physical Review X DO - 10.1103/physrevx.4.011047 UR - https://doi.org/10.1103/physrevx.4.011047 ER -
Peixoto, Tiago P.. “Hierarchical Block Structures and High-Resolution Model Selection in Large Networks.” Physical Review X (2014). https://doi.org/10.1103/physrevx.4.011047.