Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information-Reference-Cited by-同舟云学术

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Identification of multi-layer networks community by fusing nonnegative matrix factorization and topological structural information

Published:2021-02 Issue: Volume:213 Page:106666
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Ma Changzhou,Lin Qiang^ORCID,Lin Yong,Ma Xiaoke^ORCID

Funder

NSFC

Ministry of Education, China

State Key Laboratory for Novel Software Technology, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference57 articles.

1. Hierarchical structure and the prediction of missing links in networks;Clauset;Nature,2008

2. Discriminative metric learning for multi-view graph partitioning;Li;Pattern Recognit.,2018

3. Uncovering disease-disease relationships through the incomplete interactome;Menche;Science,2015

4. Community structure in social and biological networks;Girvan;Proc. Natl. Acad. Sci.,2002

5. Query optimal k-plex based community in graphs;Wang;Data Sci. Eng.,2017

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2. Adaptive robust structure exploration for complex systems based on model configuration and fusion;PeerJ Computer Science;2024-04-08

3. A community partitioning algorithm for cyberspace;Scientific Reports;2023-11-03

4. A product requirement development method based on multi-layer heterogeneous networks;Advanced Engineering Informatics;2023-10

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