Influence Maximization in Near-Linear Time: A Martingale Approach
By Youze Tang, Yanchen Shi, Xiaokui Xiao. SIGMOD Conference, 2015
846 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/706c83309fa09454a136d4e607364b27be66172c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Statistical and Nonlinear Physics
In Signal Processing
Citations in the corpus
- Influence Maximization on Social Graphs: A Survey (2018, methodology): “IMM [16] @ @ @ @ OðkðmþnÞlogn "2 Þ 1 1=e "”
- Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks (2016, methodology): “Viral Marketing, in which brand-awareness information is widely spread via the word-of-mouth effect, has emerged as one of the most effective marketing channels.”
- Optimizing Ad Allocation in Social Advertising (2015, methodology): “2 for AARM, AARM-U and TIRM, in accordance with the settings in [33].”