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Fast and Space-Efficient Parallel Algorithms for Influence Maximization

Summary: PaC-IM introduces sketch-compression for the independent cascade model on undirected graphs, combining simulation and sketching to realize a tunable time–space tradeoff. New parallel seed-selection data structures deliver 5–18× speedups and 1.4–3.8× memory reduction, scaling to 978M nodes/75B edges in ≈2h. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13600
Venue
VLDB
Year
2024
Pagerank
4.1945683e-05
Overall Rank
11,080 | 22.92%
DOI
10.14778/3623093.3632104

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