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...

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Bibliographic Details
Main Authors: Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre, Lena Rebecca Zastrow
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/13/5/108

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