Detecting Community Through User Similarity Analysis on Twitter-Reference-Cited by-同舟云学术

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Detecting Community Through User Similarity Analysis on Twitter

Published:2024-01-03 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM)
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Author:

Hasan Md Ahsan Ul¹,Bakar Azuraliza Abu²,Yaakub Mohd Ridzwan¹

Affiliation:

1. Universiti Kebangsaan Malaysia,Sentiment Analysis Lab, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology,Bangi,Selangor,Malaysia,43600

2. Universiti Kebangsaan Malaysia,Data Mining and Optimization Lab, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology,Bangi,Selangor,Malaysia,43600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10418251/10418242/10418381.pdf?arnumber=10418381

Reference25 articles.

1. Number of Twitter Users 2022/2023: Demographics, Breakdowns & Predictions - Financesonline.com;Jay,2023

2. User Interaction Based Community Detection in Online Social Networks

3. A review on community structures detection in time evolving social networks

4. Bees colonies for detecting communities evolution using data warehouse

5. Evaluating Methods for Efficient Community Detection in Social Networks

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