Research map / Graph learning / Graph algorithms and clustering
Detect Overlapping Communities via Ranking Node Popularities
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use stochastic-model node-popularity ranking with Bayesian community shrinkage vs best baseline | SLPA/Oslom (second best) · Friendster | NMI (%): 29.07 -> 44.19 | Helped |
| Same method vs best baseline | SLPA (second best) · Youtube | NMI (%): 18.31 -> 31.21 | Helped |
| Same method vs best baseline | SLPA (second best) · Orkut | NMI (%): 25.71 -> 29.75 | Helped |
| Same method vs best baseline | BigClam (second best) · DBLP | NMI (%): 14.96 -> 18.78 | Helped |
| Same method vs Oslom on LFR synthetic benchmarks | Oslom · LFR four benchmark sets | NMI | Helped |
| Hierarchical Bayesian model selection vs spectral method for number of communities | spectral method · LFR benchmarks | number of communities | Mixed |
| Vary parameter epsilon from 1e-3 to 20e-3 | Ours · six real networks | NMI | No clear effect |
Closest papers by meaning
- Towards Efficient Detection of Overlapping Communities in Massive Networks (AAAI 2018 · similarity 0.91)
- Detecting Overlapping and Correlated Communities without Pure Nodes: Identifiability and Algorithm (ICML 2019 · similarity 0.89)
- Provable Overlapping Community Detection in Weighted Graphs (NeurIPS 2020 · similarity 0.88)
- On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations (ICML 2017 · similarity 0.87)
- Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis (AAAI 2024 · similarity 0.84)
- Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability (ICML 2025 · similarity 0.83)
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