Detecting Community Evolution by Utilizing Individual Temporal Semantics in Social Networks-Reference-Cited by-同舟云学术

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Detecting Community Evolution by Utilizing Individual Temporal Semantics in Social Networks

Published:2023 Issue: Volume:11 Page:120362-120371
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Feng¹^ORCID,Hou Dingbo¹^ORCID,Yan Hao¹

Affiliation:

1. School of Intelligent Computing Engineering, Tianjin Renai College, Tianjin, China

Funder

Tianjin Research Innovation Project for Postgraduate Students

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/ielx7/6287639/10005208/10301634.pdf?arnumber=10301634

Reference36 articles.

1. SEAL

2. Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities

3. Understanding User Preferences in Location-Based Social Networks via a Novel Self-Attention Mechanism

4. Community Detection in Social Networks Considering Topic Correlations

5. Overlapping Community Detection in Static and Dynamic Networks

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