Influence Maximization in Independent Cascade Networks Based on Activation Probability Computation

Influence Maximization in Independent Cascade Networks Based on Activation Probability Computation

Based on the concepts of “word-of-mouth” effect and viral marketing, the diffusion of an innovation may be triggered starting from a set of initial users. Estimating the influence spread is a preliminary step to determine a suitable or even optimal set of initial users to reach...

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Bibliographic Details
Main Authors: Wenjing Yang, Leonardo Brenner, Alessandro Giua
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Independent cascade model
influence maximization
social networks
Online Access:https://ieeexplore.ieee.org/document/8620287/

Internet

https://ieeexplore.ieee.org/document/8620287/

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