Modeling and maximizing influence diffusion in social networks for viral marketing
Abstract Modeling influence diffusion in social networks is an important challenge. We investigate influence-diffusion modeling and maximization in the setting of viral marketing, in which a node’s influence is measured by the number of nodes it can activate to adopt a new technology or purchase a n...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-04-01
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Series: | Applied Network Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41109-018-0062-7 |