Inferring Urban Social Networks from Publicly Available Data
The definition of suitable generative models for synthetic yet realistic social networks is a widely studied problem in the literature. By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are inadequate for many practical contexts—including...
Main Authors: | Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre, Lena Rebecca Zastrow |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/13/5/108 |
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