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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...

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Bibliografiske detaljer
Udgivet i:Research (Wash D C)
Main Authors: Zhang, Yafei, Wang, Lin, Zhu, Jonathan J. H., Wang, Xiaofan, Pentland, Alex ‘Sandy'
Format: Artigo
Sprog:Inglês
Udgivet: AAAS 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8328400/
https://ncbi.nlm.nih.gov/pubmed/34386773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.34133/2021/9831621
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