A robust optimization model for influence maximization in social networks with heterogeneous nodes

A robust optimization model for influence maximization in social networks with heterogeneous nodes

Abstract Influence maximization is the problem of trying to maximize the number of influenced nodes by selecting optimal seed nodes, given that influencing these nodes is costly. Due to the probabilistic nature of the problem, existing approaches deal with the concept of the expected number of nodes...

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Bibliographic Details
Main Authors: Mehrdad Agha Mohammad Ali Kermani, Reza Ghesmati, Mir Saman Pishvaee
Format: Article
Language:English
Published: SpringerOpen 2021-08-01
Series:Computational Social Networks
Subjects:
Social network
Influence maximization
Influential nodes
Scenario-based stochastic programming
Robust optimization
Online Access:https://doi.org/10.1186/s40649-021-00096-x

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