Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation

Summary: Introduces PA-IC, fusing preferential attachment with IC diffusion to model novice vs popular item popularity. PRM seeds across rounds; ratio monotone but non-submodular, with a surrogate monotone-submodular objective and two algorithms; empirically best. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6667
Venue: SIGMOD
Year: 2023
Pagerank: 4.613363e-05
Overall Rank: 7,935 | 44.80%
DOI: 10.1145/3589309

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,537	Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
180	Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency	2014	SIGMOD	0.00037135181
337	Influence Maximization in Near-Linear Time: A Martingale Approach	2015	SIGMOD	0.00027011645
436	Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks	2016	SIGMOD	0.00023259324
1,801	Online Processing Algorithms for Influence Maximization	2018	SIGMOD	0.00010510943
2,371	From Competition to Complementarity: Comparative Influence Diffusion and Maximization	2016	VLDB	8.9482922e-05

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