[HTML][HTML] Networks beyond pairwise interactions: Structure and dynamics
The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …
of the interactions among their units. Over the past decades, a variety of complex systems …
Community detection and stochastic block models: recent developments
E Abbe - Journal of Machine Learning Research, 2018 - jmlr.org
The stochastic block model (SBM) is a random graph model with planted clusters. It is widely
employed as a canonical model to study clustering and community detection, and provides …
employed as a canonical model to study clustering and community detection, and provides …
[图书][B] Statistical foundations of data science
Statistical Foundations of Data Science gives a thorough introduction to commonly used
statistical models, contemporary statistical machine learning techniques and algorithms …
statistical models, contemporary statistical machine learning techniques and algorithms …
Bayesian stochastic blockmodeling
TP Peixoto - Advances in network clustering and …, 2019 - Wiley Online Library
This chapter describes the basic variants of the stochastic blockmodel (SBM), and a
consistent Bayesian formulation that allows readers to infer them from data. The focus is on …
consistent Bayesian formulation that allows readers to infer them from data. The focus is on …
An econometric model of network formation with degree heterogeneity
BS Graham - Econometrica, 2017 - Wiley Online Library
I introduce a model of undirected dyadic link formation which allows for assortative matching
on observed agent characteristics (homophily) as well as unrestricted agent‐level …
on observed agent characteristics (homophily) as well as unrestricted agent‐level …
Hypothesis testing for automated community detection in networks
Community detection in networks is a key exploratory tool with applications in a diverse set
of areas, ranging from finding communities in social and biological networks to identifying …
of areas, ranging from finding communities in social and biological networks to identifying …
On semidefinite relaxations for the block model
On semidefinite relaxations for the block model Page 1 The Annals of Statistics 2018, Vol. 46,
No. 1, 149–179 https://doi.org/10.1214/17-AOS1545 © Institute of Mathematical Statistics …
No. 1, 149–179 https://doi.org/10.1214/17-AOS1545 © Institute of Mathematical Statistics …
A clarified typology of core-periphery structure in networks
Core-periphery structure, the arrangement of a network into a dense core and sparse
periphery, is a versatile descriptor of various social, biological, and technological networks …
periphery, is a versatile descriptor of various social, biological, and technological networks …
Estimating network edge probabilities by neighbourhood smoothing
The estimation of probabilities of network edges from the observed adjacency matrix has
important applications to the prediction of missing links and to network denoising. It is …
important applications to the prediction of missing links and to network denoising. It is …