Social network analysis metrics and their application in microbiological network studies (2014)
- Authors:
- USP affiliated authors: TORRES, TATIANA TEIXEIRA - IB ; SARAIVA, ANTONIO MAURO - EP
- Unidades: IB; EP
- Subjects: REDES SOCIAIS (ANÁLISE); BIOLOGIA (ESTUDO)
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2014
- Source:
- Título: Studies in Computational Intelligence
- ISSN: 1860-9503
- Volume/Número/Paginação/Ano: v. 549, p. 251-260, 2014
-
ABNT
SILVA, Juliana Saragiotto et al. Social network analysis metrics and their application in microbiological network studies. Studies in Computational Intelligence, v. 549, p. 251-260, 2014Tradução . . Acesso em: 14 mar. 2026. -
APA
Silva, J. S., Stoppe, N. de C., Torres, T. T., Ottoboni, L. M. M., & Saraiva, A. M. (2014). Social network analysis metrics and their application in microbiological network studies. Studies in Computational Intelligence, 549, 251-260. -
NLM
Silva JS, Stoppe N de C, Torres TT, Ottoboni LMM, Saraiva AM. Social network analysis metrics and their application in microbiological network studies. Studies in Computational Intelligence. 2014 ; 549 251-260.[citado 2026 mar. 14 ] -
Vancouver
Silva JS, Stoppe N de C, Torres TT, Ottoboni LMM, Saraiva AM. Social network analysis metrics and their application in microbiological network studies. Studies in Computational Intelligence. 2014 ; 549 251-260.[citado 2026 mar. 14 ] - Clustering of water bodies in unpolluted and polluted environments based on Escherichia coli phylogroup abundance using a simple interaction database
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