Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networks

Utilizing the simple graph convolutional neural network as a model for simulating influence spread in networks

Abstract The ability for people and organizations to connect in the digital age has allowed the growth of networks that cover an increasing proportion of human interactions. The research community investigating networks asks a range of questions such as which participants are most central, and which...

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Bibliographic Details
Main Authors: Alexander V. Mantzaris, Douglas Chiodini, Kyle Ricketson
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Computational Social Networks
Subjects:
Graph convolutional neural networks
Social influence
Networks
Machine learning
Social networks
Information diffusion
Online Access:https://doi.org/10.1186/s40649-021-00095-y

Internet

https://doi.org/10.1186/s40649-021-00095-y

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