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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...
Autores principales: | Zhang, Yafei, Wang, Lin, Zhu, Jonathan J. H., Wang, Xiaofan, Pentland, Alex ‘Sandy' |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2021
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Materias: | |
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 |
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