Skyline Community Search in Multi-valued Networks
Summary: Introduces skyline community in multi-valued networks: a maximal connected k-core non-dominated across d attributes (e.g., h-index, PageRank). A space-partition algorithm computes skyline communities efficiently with output-sensitive, progressive enumeration; validated on real and synthetic networks. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Rong-Hua Li (Beijing Institute of Technology)
- 2. Lu Qin (University of Technology Sydney)
- 3. Fanghua Ye (Sun Yat-Sen University)
- 4. Jeffrey Xu Yu (Chinese University of Hong Kong)
- 5. Xiao Xiaokui (National University of Singapore)
- 6. Nong Xiao (Sun Yat-Sen University)
- 7. Zibin Zheng (Sun Yat-Sen University)
BibTeX Citation
@inproceedings{li_sigmod18,
title = {{Skyline Community Search in Multi-valued Networks}},
author = {Li, Rong-Hua and Qin, Lu and Ye, Fanghua and Yu, Jeffrey Xu and Xiaokui, Xiao and Xiao, Nong and Zheng, Zibin},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183736},
url = {https://dl.acm.org/doi/10.1145/3183713.3183736},
year = {2018}
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