Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks

Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks. Although the IBM problem has been extensively studied, existing works neglect the fact that the location information can play an important role in influence propagation. In this paper, we study...

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Главные авторы:	Wenlong Zhu, Wu Yang, Shichang Xuan, Dapeng Man, Wei Wang, Xiaojiang Du, Mohsen Guizani
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2019-01-01
Серии:	IEEE Access
Предметы:	Influence blocking maximization location-based competitive social networks
Online-ссылка:	https://ieeexplore.ieee.org/document/8648357/
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