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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
4930
Venue
SIGMOD
Year
2015
Pagerank
5.6853246e-05
Overall Rank
5,115 | 64.42%
DOI
10.1145/2723372.2723710

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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
90 A Data-Based Approach to Social Influence Maximization 2012 VLDB 0.00052068982
180 Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency 2014 SIGMOD 0.00037135181
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