The Strength of Structural Diversity in Online Social Networks

Understanding the way individuals are interconnected in social networks is of prime significance to predict their collective outcomes. Leveraging a large-scale dataset from a knowledge-sharing website, this paper presents an exploratory investigation of the way to depict structural diversity in dire...

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Detalles Bibliográficos
Autores principales: Zhang, Yafei, Wang, Lin, Zhu, Jonathan J. H., Wang, Xiaofan, Pentland, Alex ‘Sandy'
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328400/
https://www.ncbi.nlm.nih.gov/pubmed/34386773
http://dx.doi.org/10.34133/2021/9831621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328400/
https://www.ncbi.nlm.nih.gov/pubmed/34386773
http://dx.doi.org/10.34133/2021/9831621

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