Detection of Community Structures in Dynamic Social Networks Based on Message Distribution and Structural/Attribute Similarities-Reference-Cited by-同舟云学术

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Detection of Community Structures in Dynamic Social Networks Based on Message Distribution and Structural/Attribute Similarities

Published:2021 Issue: Volume:9 Page:67028-67041
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zardi Hedia^ORCID,Alharbi Bushra,Karamti Walid,Karamti Hanen,Alabdulkreem Eatedal^ORCID

Funder

Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University through the Fast-Track Research Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09418996.pdf?arnumber=9418996

Cited by 6 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. Community anomaly detection in attribute networks based on refining context;Computing;2024-04-04

2. Multi Order Deep Learning Model for Community Detection;2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT);2023-04-08

3. Community Detection Algorithms in Healthcare Applications: A Systematic Review;IEEE Access;2023

4. A Deep Semi-Supervised Community Detection Based on Point-Wise Mutual Information;IEEE Transactions on Computational Social Systems;2023

5. Dynamic Community Detection Based on Similarity of Social Network Nodes;2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2022-12-09

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