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http://dx.doi.org/10.13088/jiis.2017.23.2.089

Hot spot DBC: Location based information diffusion for marketing strategy in mobile social networks  

Ryu, Jegwang (The Department of Computer Science, Yonsei University)
Yang, Sung-Bong (The Department of Computer Science, Yonsei University)
Publication Information
Journal of Intelligence and Information Systems / v.23, no.2, 2017 , pp. 89-105 More about this Journal
Abstract
As the advances of technology in mobile networking and the popularity of online social networks (OSNs), the mobile social networks (MSNs) provide opportunities for marketing strategy. Therefore, understanding the information diffusion in the emerging MSNs is a critical issue. The information diffusion address a problem of how to find the proper initial nodes who can effectively propagate as widely as possible in the minimum amount of time. We propose a new diffusion scheme, called Hotspot DBC, which is to find k influential nodes considering each node's mobility behavior in the hotspot zones. Our experiments were conducted in the Opportunistic Network Environment (ONE) using real GPS trace, to show that the proposed scheme results. In addition, we demonstrate that our proposed scheme outperforms other existing algorithms.
Keywords
mobile social networks; information diffusion; machine learning; NCCU; viral marketing;
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