Synchronization of an ensemble of oscillators is an emergent phenomenon present in
several complex systems, ranging from social and physical to biological and technological …

In this monograph, we have attempted to summarize the actively develo** field of
statistical learning with sparsity. A sparse statistical model is one having only a small …

Social networks have recently been widely explored in many fields; these networks are
composed of a set of autonomous social actors and the interaction relations among them …

Discovering and characterizing the large-scale topological features in empirical networks
are crucial steps in understanding how complex systems function. However, most existing …

Consistency of community detection in networks under degree-corrected stochastic block
models Page 1 The Annals of Statistics 2012, Vol. 40, No. 4, 2266–2292 DOI: 10.1214/12-AOS1036 …

The stochastic block model is a popular tool for studying community structures in network
data. We develop a goodness-of-fit test for the stochastic block model. The test statistic is …

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 …

Likelihood-based model selection for stochastic block models Page 1 The Annals of
Statistics 2017, Vol. 45, No. 2, 500–528 DOI: 10.1214/16-AOS1457 © Institute of …

We collected and cleaned a large dataset on publications in statistics. The dataset consists
of the co-author relationships and citation relationships of 83, 331 articles published in 36 …

The stochastic block model (SBM) and its variants have been a popular tool for analyzing
large network data with community structures. In this article, we develop an efficient network …