Hierarchical benchmark graphs for testing community detection algorithms-Reference-Cited by-同舟云学术

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Hierarchical benchmark graphs for testing community detection algorithms

Published:2017-11-14 Issue:5 Volume:96 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Yang Zhao,Perotti Juan I.,Tessone Claudio J.

Funder

Universität Zürich

Consejo Nacional de Investigaciones Científicas y Técnicas

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.96.052311/fulltext

Reference43 articles.

1. On the origins of hierarchy in complex networks

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1. An Algorithm Based on Non-Negative Matrix Factorization for Detecting Communities in Networks;Mathematics;2024-02-19

2. ABCD-HN: An Artificial Network Benchmark for Community Detection on Heterogeneous Networks;Communications in Computer and Information Science;2024

3. Attention-based hierarchical random graph model for structural inference of real-world networks;Expert Systems with Applications;2023-10

4. GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology;Information Systems;2023-05

5. Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection;Applied Mathematics and Computation;2022-10

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