On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
IEEE Transactions on Network Science and Engineering(2021)
摘要
This paper studies the multi-cascade influence maximization problem, which explores the strategies for launching one information cascade in a social network in which multiple cascades can spread concurrently. We leverage the concept of resolution function for defining the correlations between different cascades and propose the independent multi-cascade model. Based on the proposed model, we study ...
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关键词
Integrated circuit modeling,Approximation algorithms,Computational modeling,Linear programming,Sampling methods,Analytical models,Social networking (online)
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