Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened
Summary: Efficient random RR-set generation for IC accelerates IM; runtime becomes O(k n log n / epsilon^2) with bounded in-degree. Reduces RR-set size to boost scalability in high-influence networks while preserving (1 - 1/e - epsilon); experiments show orders-of-magnitude speedups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Qintian Guo (Chinese University of Hong Kong)
- 2. Sibo Wang (Chinese University of Hong Kong)
- 3. Zhewei Wei (Renmin University of China)
- 4. Ming Chen (Renmin University of China)
BibTeX Citation
@inproceedings{guo_sigmod20,
title = {{Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened}},
author = {Guo, Qintian and Wang, Sibo and Wei, Zhewei and Chen, Ming},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389740},
url = {https://dl.acm.org/doi/10.1145/3318464.3389740},
year = {2020}
}
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