Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks
Summary: Introduces the first meta-path-based formulation of type-specific betweenness centrality on heterogeneous information networks, defining coarse-grained and fine-grained BC (cBC, fBC). Provides a generalized algorithm and optimizations (network compression, BFS-DAG sharing) to scale cBC/fBC, validated on real HINs. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Xinrui Wang
- 2. Yiran Wang
- 3. Xuemin Lin
- 4. Jeffrey Xu Yu
- 5. Hong Gao
- 6. Xiuzhen Cheng
- 7. Dongxiao Yu
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,477 | Revisiting Graph Analytics Benchmark | 2025 | SIGMOD | 4.3341665e-05 |
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