Influence Diffusion in Social Networks

Wen Xu (), Weili Wu (), Lidan Fan (), Zaixin Lu () and Ding-Zhu Du ()
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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

A chapter in Optimization in Science and Engineering, 2014, pp 567-581 from Springer

Abstract: 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.

Keywords: Social Network; Influence Maximization; Linear Threshold; Strongly Connected Component; Independent Cascade (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-0808-0_27

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DOI: 10.1007/978-1-4939-0808-0_27

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