Estimating mixed memberships in multi-layer networks

arXiv:2404.03916v1 Announce Type: cross
Abstract: Community detection in multi-layer networks has emerged as a crucial area of modern network analysis. However, conventional approaches often assume that nodes belong exclusively to a single community, which fails to capture the complex structure of real-world networks where nodes may belong to multiple communities simultaneously. To address this limitation, we propose novel spectral methods to estimate the common mixed memberships in the multi-layer mixed membership stochastic block model. The proposed methods leverage the eigen-decomposition …

abstract analysis arxiv communities community cs.si detection however layer mixed modern multiple network networks nodes stat.ml type world