A community detection approach based on network representation learning for repository mining-Reference-Cited by-同舟云学术

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A community detection approach based on network representation learning for repository mining

Published:2023-11 Issue: Volume:231 Page:120597
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

De Luca Marco^ORCID,Fasolino Anna Rita,Ferraro Antonino^ORCID,Moscato Vincenzo,Sperlí Giancarlo^ORCID,Tramontana Porfirio^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. A novel approach for estimating truck factors;Avelino,2016

2. Collaboration strength metrics and analyses on GitHub;Batista,2017

3. Representation learning: A review and new perspectives;Bengio;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013

4. An exploratory study to find motives behind cross-platform forks from software heritage dataset;Bhattacharjee,2020

5. Ultra-large-scale repository analysis via graph compression;Boldi,2020

Cited by 3 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 in social networks using machine learning: a systematic mapping study;Knowledge and Information Systems;2024-08-12

2. A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information;Expert Systems with Applications;2024-05

3. LPMSAEF: Lightweight process mining-based software architecture evaluation framework for security and performance analysis;Heliyon;2024-03

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