7.7k citations · 24.5k across the 60 of their papers we have counts for
Showing 2014 · stat.MLShow all
2 papers · 2 filters
stat.ML2014★ 7 cited
A unified view of generative models for networks: models, methods, opportunities, and challenges
Abigail Z. Jacobs, Aaron Clauset
Research on probabilistic models of networks now spans a wide variety of fields, including physics, sociology, biology, statistics, and machine learning. These efforts have produce…
stat.ML2014★ 240 cited
Learning Latent Block Structure in Weighted Networks
Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset
Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar community-level connectivity p…