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Maximizing Social Welfare in a Competitive Diffusion Model

Summary: Maximizes social welfare in competitive diffusion under a utility-driven model (UIC), focusing on multi-item incentives. Proves NP-hardness to approximate within any constant and provides incentive-aware algorithms, including a (1−1/e−ε)-approximation for restricted settings with strong empirical gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12580
Venue
VLDB
Year
2021
Pagerank
4.4896282e-05
Overall Rank
8,591 | 40.24%
DOI
10.14778/3436905.3436920

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