Complex influence propagation based on trust-aware dynamic linear threshold models
Abstract To properly capture the complexity of influence propagation phenomena in real-world contexts, such as those related to viral marketing and misinformation spread, information diffusion models should fulfill a number of requirements. These include accounting for several dynamic aspects in the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-04-01
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Series: | Applied Network Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41109-019-0124-5 |