Tiago P. Peixoto
Tiago P. Peixoto
University of Bath, ISI Foundation
Verified email at bath.ac.uk - Homepage
TitleCited byYear
Hierarchical block structures and high-resolution model selection in large networks
TP Peixoto
Physical Review X 4 (1), 011047, 2014
1742014
Parsimonious module inference in large networks
TP Peixoto
Physical review letters 110 (14), 148701, 2013
1322013
The graph-tool Python library
TP Peixoto
figshare, 2014
127*2014
Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models
TP Peixoto
Physical Review E 89 (1), 012804, 2014
892014
Inferring the mesoscale structure of layered, edge-valued, and time-varying networks
TP Peixoto
Physical Review E 92 (4), 042807, 2015
872015
Entropy of stochastic blockmodel ensembles
TP Peixoto
Physical Review E 85 (5), 056122, 2012
782012
Model selection and hypothesis testing for large-scale network models with overlapping groups
TP Peixoto
Physical Review X 5 (1), 011033, 2015
612015
Evolution of robust network topologies: Emergence of central backbones
TP Peixoto, S Bornholdt
Physical review letters 109 (11), 118703, 2012
612012
Trust transitivity in social networks
O Richters, TP Peixoto
PloS one 6 (4), e18384, 2011
572011
Generalized communities in networks
MEJ Newman, TP Peixoto
Physical review letters 115 (8), 088701, 2015
542015
Network structure, metadata, and the prediction of missing nodes and annotations
D Hric, TP Peixoto, S Fortunato
Physical Review X 6 (3), 031038, 2016
482016
Eigenvalue spectra of modular networks
TP Peixoto
Physical review letters 111 (9), 098701, 2013
452013
Disease localization in multilayer networks
GF de Arruda, E Cozzo, TP Peixoto, FA Rodrigues, Y Moreno
Physical Review X 7 (1), 011014, 2017
422017
Modelling sequences and temporal networks with dynamic community structures
T P. Peixoto, M Rosvall
Nature Communications 8, 582, 2017
412017
Nonparametric Bayesian inference of the microcanonical stochastic block model
TP Peixoto
Physical Review E 95 (1), 012317, 2017
352017
Distribution of epicenters in the Olami-Feder-Christensen model
TP Peixoto, CPC Prado
Physical Review E 69 (2), 025101, 2004
332004
Bayesian stochastic blockmodeling
TP Peixoto
arXiv preprint arXiv:1705.10225, 2017
302017
Noise in random boolean networks
TP Peixoto, B Drossel
Physical Review E 79 (3), 036108, 2009
242009
A network approach to topic models
M Gerlach, TP Peixoto, EG Altmann
Science advances 4 (7), eaaq1360, 2018
232018
Redundancy and error resilience in Boolean networks
TP Peixoto
Physical review letters 104 (4), 048701, 2010
222010
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Articles 1–20