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Efficient Location-Aware Influence Maximization

Summary: Proposes location-aware influence maximization to exploit user location for greater spread in social graphs. Introduces two greedy algorithms with 1-1/e guarantees and two fast epsilon*(1-1/e) methods for instant-speed results; experiments on real datasets show strong spread and outperformance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4828
Venue
SIGMOD
Year
2014
Pagerank
6.5373017e-05
Overall Rank
4,725 | 67.59%
DOI
10.1145/2588555.2588561

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod14,
        title = {{Efficient Location-Aware Influence Maximization}},
        author = {Li, Guoliang and Chen, Shuo and Feng, Jianhua and Tan, Kian-lee and Li, Wen-Syan},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2588561},
        url = {https://dl.acm.org/doi/10.1145/2588555.2588561},
        year = {2014}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
296 A Data-Based Approach to Social Influence Maximization 2012 VLDB 0.00022220351
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