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Found 2 papers, 1 papers with code
Think Locally, Act Locally: The Detection of Small, Medium-Sized, and Large Communities in Large Networks
In this paper, we adopt a complementary perspective that "communities" are associated with bottlenecks of locally-biased dynamical processes that begin at seed sets of nodes, and we employ several different community-identification procedures (using diffusion-based and geodesic-based dynamics) to investigate community quality as a function of community size.
Social and Information Networks Disordered Systems and Neural Networks Combinatorics Adaptation and Self-Organizing Systems Physics and Society
Inference of Network Summary Statistics Through Network Denoising
Consider observing an undirected network that is `noisy' in the sense that there are Type I and Type II errors in the observation of edges.
