CoDAR: Revealing the Generalized Procedure & Recommending Algorithms of Community Detection
Summary: CoDAR reveals a generalized procedure for community detection and tracks real-time structural changes during detection. It uses 12 metrics and a rating model to evaluate communities and recommend the best algorithm, with interactive visualization. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xiang Ying
- 2. Chaokun Wang
- 3. Meng Wang
- 4. Jeffrey Xu Yu
- 5. Jun Zhang
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,049 | Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework | 2015 | VLDB | 9.6894639e-05 |
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