Model-based learning of information diffusion in social media networks
Abstract Social networks have become widely used platforms for their users to share information. Learning the information diffusion process is essential for successful applications of viral marketing and cyber security in social media networks. This paper proposes two learning models that are aimed...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-11-01
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Series: | Applied Network Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41109-019-0215-3 |