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Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks

Summary: Improves BIM approximation to 1 - 1/e_beta - epsilon (≈0.355) with reverse sampling on massive networks. Introduces bound-estimation and seed-selection techniques that reduce seed-set-size dependence, yielding large practical speedups over prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12058
Venue
VLDB
Year
2020
Pagerank
8.6741469e-05
Overall Rank
2,486 | 82.71%
DOI
10.14778/3397230.3397244

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