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Modeling heterogeneity in random graphs through latent space models: a selective review
Abstract : We present a selective review on probabilistic modeling of heterogeneity in random graphs. We focus on latent space models and more particularly on stochastic block models and their extensions that have undergone major developments in the last five years.
Cited literature [89 references]
https://hal.archives-ouvertes.fr/hal-00948421
Contributor : Catherine Matias Connect in order to contact the contributor
Submitted on : Wednesday, September 24, 2014 - 9:50:16 AM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM
Long-term archiving on: : Friday, April 14, 2017 - 11:48:08 AM
Contributor : Catherine Matias Connect in order to contact the contributor
Submitted on : Wednesday, September 24, 2014 - 9:50:16 AM
Last modification on : Friday, August 5, 2022 - 2:38:10 PM
Long-term archiving on: : Friday, April 14, 2017 - 11:48:08 AM
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Graphs_review_preprintV2.pdf
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