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

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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Bibliographic Details
Main Authors: Wenlong Zhu, Wu Yang, Shichang Xuan, Dapeng Man, Wei Wang, Xiaojiang Du, Mohsen Guizani
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Influence blocking maximization
location-based
competitive social networks
Online Access:https://ieeexplore.ieee.org/document/8648357/

Internet

https://ieeexplore.ieee.org/document/8648357/

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