938 citations · 4.4k across the 50 of their papers we have counts for
51 papers
Statistical inference of dynamical processes on networks
Javier Ureña-Carrion, Tiago P. Peixoto, Gerardo Iñiguez
Mechanisms of interaction in spreading models are central to our quantitative understanding of networked contagion processes, from disease transmission to opinion dynamics. Yet, wh…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto, Alec Kirkley
The task of community detection, which aims to partition a network into clusters of nodes to summarize its large-scale structure, has spawned the development of many competing algo…
Ordered community detection in directed networks
Tiago P. Peixoto
We develop a method to infer community structure in directed networks where the groups are ordered in a latent one-dimensional hierarchy that determines the preferred edge directio…
Systematic assessment of the quality of fit of the stochastic block model for empirical networks
Felipe Vaca-Ramírez, Tiago P. Peixoto
We perform a systematic analysis of the quality of fit of the stochastic block model (SBM) for 275 empirical networks spanning a wide range of domains and orders of size magnitude.…
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This…