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Composed Influence Maximization in Social Networks

In: Nonlinear Combinatorial Optimization

Author

Listed:
  • Smita Ghosh

    (The University of Texas at Dallas)

  • Jianming Zhu

    (School of Engineering Science, University of Chinese Academy of Sciences)

  • Weili Wu

    (The University of Texas at Dallas)

Abstract

Influence maximization has been studied extensively in the literature. Its mathematical formulation is a monotone nondecreasing submodular maximization. However, when composed influence is considered, the corresponding problem becomes a nonsubmodular maximization. A composed influence results from a combination of at least two active members in the social network. To study this problem, a hypergraph model is introduced and hence different methodologies are involved.

Suggested Citation

  • Smita Ghosh & Jianming Zhu & Weili Wu, 2019. "Composed Influence Maximization in Social Networks," Springer Optimization and Its Applications, in: Ding-Zhu Du & Panos M. Pardalos & Zhao Zhang (ed.), Nonlinear Combinatorial Optimization, pages 251-264, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-16194-1_11
    DOI: 10.1007/978-3-030-16194-1_11
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