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Influence Diffusion in Social Networks

In: Optimization in Science and Engineering

Author

Listed:
  • Wen Xu

    (University of Texas at Dallas, Department of Computer Science)

  • Weili Wu

    (University of Texas at Dallas, Department of Computer Science)

  • Lidan Fan

    (University of Texas at Dallas, Department of Computer Science)

  • Zaixin Lu

    (University of Texas at Dallas, Department of Computer Science)

  • Ding-Zhu Du

    (University of Texas at Dallas, Department of Computer Science)

Abstract

Recently influence diffusion in social networks has become a hot topic in research communities. In this paper, we outline the techniques used in optimizing or facilitating information diffusion in social networks. We begin with an overview of social networks identifying its significance and characteristics. Then among various problems that are related to diffusion of information in social networks, we study the two fundamental problems using multi-scale analysis, namely (a) maximizing the influence spread and (b) minimizing the spread of misinformation in social networks. Research trends of this topic are also detected and discussed.

Suggested Citation

  • Wen Xu & Weili Wu & Lidan Fan & Zaixin Lu & Ding-Zhu Du, 2014. "Influence Diffusion in Social Networks," Springer Books, in: Themistocles M. Rassias & Christodoulos A. Floudas & Sergiy Butenko (ed.), Optimization in Science and Engineering, edition 127, pages 567-581, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-0808-0_27
    DOI: 10.1007/978-1-4939-0808-0_27
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