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 …
Several research studies have shown that complex networks modeling real-world phenomena are characterized by striking properties:(i) they are organized according to …
Across many scientific domains, there is a common need to automatically extract a simplified view or coarse-graining of how a complex system's components interact. This general task is …
There have been rapid developments in model-based clustering of graphs, also known as block modelling, over the last ten years or so. We review different approaches and …
Community structure is one of the most relevant features encountered in numerous real- world applications of networked systems. Despite the tremendous effort of a large …
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 …
GB Giannakis, Y Shen… - Proceedings of the …, 2018 - ieeexplore.ieee.org
Identifying graph topologies as well as processes evolving over graphs emerge in various applications involving gene-regulatory, brain, power, and social networks, to name a few …
F Liu, D Choi, L Xie, K Roeder - Proceedings of the …, 2018 - National Acad Sciences
Community detection is challenging when the network structure is estimated with uncertainty. Dynamic networks present additional challenges but also add information …
Recent theoretical work on the modeling of network structure has focused primarily on networks that are static and unchanging, but many real-world networks change their …