Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.

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Bibliographic Details
Title: Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.
Authors: Bhattacharya A; Department of Statistics and Data Science, Washington University in St. Louis., Chakraborty N; Department of Statistics and Data Science, Washington University in St. Louis.; Department of Mathematics and Statistics, Missouri University of Science and Technology., Wang X; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Tu JC; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Dierker D; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Eck A; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Lahiri S; Department of Statistics and Data Science, Washington University in St. Louis., Eggebrecht A; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Wheelock MD; Mallinckrodt Institute of Radiology, Washington University in St. Louis.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Nov 14. Date of Electronic Publication: 2025 Nov 14.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.11.13.688333