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10/17/2022
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
The task of community detection, which aims to partition a network into ...
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03/30/2022
Ordered community detection in directed networks
We develop a method to infer community structure in directed networks wh...
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01/05/2022
Systematic assessment of the quality of fit of the stochastic block model for empirical networks
We perform a systematic analysis of the quality of fit of the stochastic...
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11/30/2021
Descriptive vs. inferential community detection: pitfalls, myths and half-truths
Community detection is one of the most important methodological fields o...
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06/30/2021
Multilayer Networks for Text Analysis with Multiple Data Types
We are interested in the widespread problem of clustering documents and ...
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01/07/2021
Disentangling homophily, community structure and triadic closure in networks
Network homophily, the tendency of similar nodes to be connected, and tr...
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08/11/2020
Hypergraph reconstruction from network data
Networks can describe the structure of a wide variety of complex systems...
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06/25/2020
Statistical inference of assortative community structures
We develop a principled methodology to infer assortative communities in ...
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05/28/2020
Revealing consensus and dissensus between network partitions
Community detection methods attempt to divide a network into groups of n...
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03/16/2020
Merge-split Markov chain Monte Carlo for community detection
We present a Markov chain Monte Carlo scheme based on merges and splits ...
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02/18/2020
Latent Poisson models for networks with heterogeneous density
Empirical networks are often globally sparse, with a small average numbe...
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10/02/2019
Limits and trade-offs of topological network robustness
We investigate the trade-off between the robustness against random and t...
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03/26/2019
Network reconstruction and community detection from dynamics
We present a scalable nonparametric Bayesian method to perform network r...
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08/04/2017
A network approach to topic models
One of the main computational and scientific challenges in the modern ag...
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08/04/2017
Nonparametric weighted stochastic block models
We present a Bayesian formulation of weighted stochastic block models th...
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05/29/2017
Bayesian stochastic blockmodeling
This chapter provides a self-contained introduction to the use of Bayesi...
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05/22/2017
On the consistency between model selection and link prediction in networks
A principled approach to understand network structures is to formulate g...
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10/09/2016
Nonparametric Bayesian inference of the microcanonical stochastic block model
A principled approach to characterize the hidden structure of networks i...
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04/01/2016
Network structure, metadata and the prediction of missing nodes and annotations
The empirical validation of community detection methods is often based o...
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09/15/2015
Modeling sequences and temporal networks with dynamic community structures
In evolving complex systems such as air traffic and social organizations...
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12/19/2012