Attribute based diversification of seeds for targeted influence maximization

DOI10.1016/j.ins.2020.08.093zbMath1479.91278OpenAlexW3081775248MaRDI QIDQ2055595

Andrea Tagarelli, Antonio Caliò

Publication date: 1 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.093

zbMATH Keywords

viral marketingsocial recommendationdiversity in influence maximizationmonotone submodular categorical set functionsreverse influence sampling

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30)

Related Items (5)

New trends in influence maximization models ⋮ Social network analysis and applications: A review of the broad research aspects of social network structure ⋮ Negative influence blocking maximization with uncertain sources under the independent cascade model ⋮ Targeted influence maximization in complex networks ⋮ IM2Vec: representation learning-based preference maximization in geo-social networks

Uses Software

• SIMPATH
• CoFIM

Cites Work

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• C2IM: community based context-aware influence maximization in social networks
• An analysis of approximations for maximizing submodular set functions—I
• Polymatroidal dependence structure of a set of random variables
• Maximizing Social Influence in Nearly Optimal Time
• Elements of Information Theory

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