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Hypergraph reconstruction from network data

Aug 13, 2020
Jean-Gabriel Young, Giovanni Petri, Tiago P. Peixoto

* 12 pages, 6 figures. Code is available at https://graph-tool.skewed.de/ 

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Statistical inference of assortative community structures

Jun 29, 2020
Lizhi Zhang, Tiago P. Peixoto

* 15 pages, 6 figures. Code is available at https://graph-tool.skewed.de and a HOWTO documentation at https://graph-tool.skewed.de/static/doc/demos/inference/inference.html 

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Revealing consensus and dissensus between network partitions

Jun 23, 2020
Tiago P. Peixoto

* 27 pages, 15 figures 

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Merge-split Markov chain Monte Carlo for community detection

Mar 24, 2020
Tiago P. Peixoto

* 12 pages, 6 figures 

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Latent Poisson models for networks with heterogeneous density

Mar 11, 2020
Tiago P. Peixoto

* 19 pages, 17 figures 

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Network reconstruction and community detection from dynamics

Mar 26, 2019
Tiago P. Peixoto

* 8 pages, 5 figures 

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Reconstructing networks with unknown and heterogeneous errors

Oct 18, 2018
Tiago P. Peixoto

* Phys. Rev. X 8, 041011 (2018) 
* 27 pages, 17 figures 

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Bayesian stochastic blockmodeling

Sep 09, 2018
Tiago P. Peixoto

* 44 pages, 16 figures, Chapter in "Advances in Network Clustering and Blockmodeling", edited by P. Doreian, V. Batagelj, A. Ferligoj, (Wiley, New York, 2018 [forthcoming]). Code is freely available as part of graph-tool at https://graph-tool.skewed.de . See also the HOWTO at https://graph-tool.skewed.de/static/doc/demos/inference/inference.html 

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Nonparametric Bayesian inference of the microcanonical stochastic block model

Aug 22, 2018
Tiago P. Peixoto

* Phys. Rev. E 95, 012317 (2017) 
* 24 pages, 9 figures, 1 table. Code is freely available as part of graph-tool at https://graph-tool.skewed.de . See also the HOWTO at https://graph-tool.skewed.de/static/doc/demos/inference/inference.html . Minor typos fixed in most recent version 

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A network approach to topic models

Jul 19, 2018
Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann

* Science Advances 4, eaaq1360 (2018) 
* 22 pages, 10 figures, code available at https://topsbm.github.io/ 

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Consistencies and inconsistencies between model selection and link prediction in networks

Jun 28, 2018
Toni Vallès-Català, Tiago P. Peixoto, Roger Guimerà, Marta Sales-Pardo

* Phys. Rev. E 97, 062316 (2018) 
* 12 pages, 6 figures, 1 table 

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Nonparametric weighted stochastic block models

Jan 19, 2018
Tiago P. Peixoto

* Phys. Rev. E 97, 012306 (2018) 
* 19 pages, 11 figures. Code is freely available as part of graph-tool at https://graph-tool.skewed.de . See also the HOWTO at https://graph-tool.skewed.de/static/doc/demos/inference/inference.html 

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Modeling sequences and temporal networks with dynamic community structures

Sep 20, 2017
Tiago P. Peixoto, Martin Rosvall

* Nature Communications 8, 582 (2017) 
* 15 Pages, 6 figures, 2 tables 

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Network structure, metadata and the prediction of missing nodes and annotations

Sep 29, 2016
Darko Hric, Tiago P. Peixoto, Santo Fortunato

* Phys. Rev. X 6, 031038 (2016) 
* 15 pages, 6 figures, 1 table 

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Hierarchical Block Structures and High-resolution Model Selection in Large Networks

Mar 25, 2014
Tiago P. Peixoto

* Phys. Rev. X 4, 011047 (2014) 
* 18 pages, 9 figures + Supplemental Material 

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Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models

Jan 13, 2014
Tiago P. Peixoto

* Phys. Rev. E 89, 012804 (2014) 
* 9 pages, 9 figures 

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Parsimonious module inference in large networks

Apr 08, 2013
Tiago P. Peixoto

* Phys. Rev. Lett. 110, 148701 (2013) 
* 5 pages, 4 figures + Supplemental Material 

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