
Multilayer Networks for Text Analysis with Multiple Data Types
We are interested in the widespread problem of clustering documents and ...
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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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Hypergraph reconstruction from network data
Networks can describe the structure of a wide variety of complex systems...
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Statistical inference of assortative community structures
We develop a principled methodology to infer assortative communities in ...
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Revealing consensus and dissensus between network partitions
Community detection methods attempt to divide a network into groups of n...
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Mergesplit Markov chain Monte Carlo for community detection
We present a Markov chain Monte Carlo scheme based on merges and splits ...
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Latent Poisson models for networks with heterogeneous density
Empirical networks are often globally sparse, with a small average numbe...
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Limits and tradeoffs of topological network robustness
We investigate the tradeoff between the robustness against random and t...
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Network reconstruction and community detection from dynamics
We present a scalable nonparametric Bayesian method to perform network r...
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A network approach to topic models
One of the main computational and scientific challenges in the modern ag...
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Nonparametric weighted stochastic block models
We present a Bayesian formulation of weighted stochastic block models th...
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Bayesian stochastic blockmodeling
This chapter provides a selfcontained introduction to the use of Bayesi...
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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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Nonparametric Bayesian inference of the microcanonical stochastic block model
A principled approach to characterize the hidden structure of networks i...
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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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Modeling sequences and temporal networks with dynamic community structures
In evolving complex systems such as air traffic and social organizations...
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Parsimonious module inference in large networks
We investigate the detectability of modules in large networks when the n...
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Tiago P. Peixoto
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