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Network centrality for the identification of biomarkers in respondent-driven sampling datasets
Networks science techniques are frequently used to provide meaningful insights into the populations underlying medical and social data. This paper examines SATHCAP, a dataset related to HIV and drug use in three US cities. In particular, we use network measures such as betweenness centrality, closen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384166/ https://www.ncbi.nlm.nih.gov/pubmed/34428228 http://dx.doi.org/10.1371/journal.pone.0256601 |