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GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks

Summary: Models competitive IM as a multi-agent game among rival groups; introduces GetReal to compute best-response strategies and detect Nash equilibria under adversarial competition. Real-network experiments show superior influence with realistic strategy mixtures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4992
Venue
SIGMOD
Year
2015
Pagerank
6.2925e-05
Overall Rank
5,267 | 63.87%
DOI
10.1145/2723372.2723710

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod15,
        title = {{GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks}},
        author = {Li, Hui and Bhowmick, Sourav S and Cui, Jiangtao and Gao, Yunjun and Ma, Jianfeng},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723710},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723710},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
194 Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency 2014 SIGMOD 0.000259047
296 A Data-Based Approach to Social Influence Maximization 2012 VLDB 0.00022220351
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