Community Detection in Social Networks Considering Social Behaviors-Reference-Cited by-同舟云学术

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Community Detection in Social Networks Considering Social Behaviors

Published:2022 Issue: Volume:10 Page:109969-109982
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Yingkui¹^ORCID,Jin Di²^ORCID,He Dongxiao²^ORCID,Musial Katarzyna³^ORCID,Dang Jianwu⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tianjin Renai College, Tianjin, China

2. College of Intelligence and Computing, Tianjin University, Tianjin, China

3. Faculty of Engineering and IT, School of Software, Advanced Analytics Institute, University of Technology Sydney (UTS), Sydney, NSW, Australia

4. School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan

Funder

Tianjin Research Innovation Project for Postgraduate Students

Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09903426.pdf?arnumber=9903426

Cited by 4 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 detection based on improved user interaction degree, weighted quasi-local path-based similarity and frequent pattern mining;The Journal of Supercomputing;2024-05-18

2. Community Detection Methods Based on Exploiting Attributes and Interactions on Social Networks: A Survey and Future Directions;Vietnam Journal of Computer Science;2024-03-22

3. Piecewise linear convolutional deep belief classifier for consumer Behavior Analysis in Social Network in Gaussian-embedded clustering;Smart Science;2024-02-05

4. Community detection using fractional weighted K-core graph for facebook data;4TH INTERNATIONAL SCIENTIFIC CONFERENCE OF ALKAFEEL UNIVERSITY (ISCKU 2022);2023

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