Research on Community Discovery Method of Complex Network Based on Density Peak Clustering and Its Application-Reference-Cited by-同舟云学术

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Research on Community Discovery Method of Complex Network Based on Density Peak Clustering and Its Application

Published:2023-11-10 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS)
language:
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Author:

Wang Teng¹,Guo Shijie²,He Miao³,Li Yatong³

Affiliation:

1. Southwest University of Science and Technology,School of Mathematics and Physics,Mianyang,China,621010

2. Southwest University of Science and Technology,School of Civil Engineering and Architecture,Mianyang,China,621010

3. Southwest Petroleum University,School of Electrical Information,Chengdu,China,610500

Funder

National College Students Innovation and Entrepreneurship Training Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455090/10455096/10455625.pdf?arnumber=10455625

Reference12 articles.

1. Community structure in social and biological networks

2. Community detection method using improved density peak clustering and nonnegative matrix factorization

3. An overlapping community detection algorithm based on density peaks

4. Complex network community detection method by improved density peaks model

5. word2vec Explained: deriving Mikolov et al.s negative-sampling word-embedding method[J];Goldberg,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DGBPSO-DBSCAN: An Optimized Clustering Technique Based on Supervised/Unsupervised Text Representation;IEEE Access;2024

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