A Community Detection Method to Counter the Semantic Noise of Complex Networks: Bridging a Topology and Semantic Subspace Transformation-Reference-Cited by-同舟云学术

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A Community Detection Method to Counter the Semantic Noise of Complex Networks: Bridging a Topology and Semantic Subspace Transformation

Published:2024-04 Issue:2 Volume:10 Page:2-14
ISSN:2333-942X
Container-title:IEEE Systems, Man, and Cybernetics Magazine
language:
Short-container-title:IEEE Syst. Man Cybern. Mag.

Author:

Li Ying¹^ORCID,Tang Yong²^ORCID,Cheng Junwei²^ORCID,He Chaobo²^ORCID,Tang Feiyi³

Affiliation:

1. South China University of Technology, Guangzhou, China

2. South China Normal University, Guangzhou, China

3. Guangzhou Panyu Polytechnic, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6745853/10505028/10505063.pdf?arnumber=10505063

Reference37 articles.

1. A Community Detection Method Based on Local Optimization in Social Networks

2. Community Detection Based on Co-regularized Nonnegative Matrix Tri-Factorization in Multi-view Social Networks

3. Unified Alignment of Protein-Protein Interaction Networks

4. Protein protein interaction network analysis of differentially expressed genes to understand involved biological processes in coronary artery disease and its different severity

5. Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances

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