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Stochastic blockmodels and community structure in networks
Brian Karrer, M. E. J. Newman, 2011. Physical Review E.
Introduces the degree-corrected stochastic blockmodel, which finds community structure in networks while allowing nodes to differ in how connected they are.
What it's used for here
The inductive-methods survey proposes blockmodels for finding word classes in the manuscript's adjacency network.
Cited by on this site 1 record
1 methods surveys
SRCInductive methods
Cite it
Karrer, B., & Newman, M. E. J. (2011). Stochastic blockmodels and community structure in networks. Physical Review E. https://doi.org/10.1103/physreve.83.016107
@article{karrer2011stochastic,
author = {Karrer, Brian and Newman, M. E. J.},
title = {Stochastic blockmodels and community structure in networks},
journal = {Physical Review E},
year = {2011},
doi = {10.1103/physreve.83.016107},
url = {https://doi.org/10.1103/physreve.83.016107}
}TY - JOUR TI - Stochastic blockmodels and community structure in networks AU - Karrer, Brian AU - Newman, M. E. J. PY - 2011 JO - Physical Review E DO - 10.1103/physreve.83.016107 UR - https://doi.org/10.1103/physreve.83.016107 ER -
Karrer, Brian and M. E. J. Newman. “Stochastic blockmodels and community structure in networks.” Physical Review E (2011). https://doi.org/10.1103/physreve.83.016107.