Dimensionality of Social Networks Using Motifs and Eigenvalues

We consider the dimensionality of social networks, and develop experiments aimed at predicting that dimension. We find that a social network model with nodes and links sampled from an m-dimensional metric space with power-law distributed influence regions best fits samples from real-world networks w...

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Detalles Bibliográficos
Autores principales: Bonato, Anthony, Gleich, David F., Kim, Myunghwan, Mitsche, Dieter, Prałat, Paweł, Tian, Yanhua, Young, Stephen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154874/
https://www.ncbi.nlm.nih.gov/pubmed/25188391
http://dx.doi.org/10.1371/journal.pone.0106052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154874/
https://www.ncbi.nlm.nih.gov/pubmed/25188391
http://dx.doi.org/10.1371/journal.pone.0106052

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