Cargando…

Blaunet: An R-based graphical user interface package to analyze Blau space

McPherson’s Blau space and affiliation ecology model is a powerful tool for analyzing the ecological competition among social entities, such as organizations, along a combination of sociodemographic characteristics of their members. In this paper we introduce the R-based Graphical User Interface (GU...

Descripción completa

Detalles Bibliográficos
Autores principales: Genkin, Michael, Wang, Cheng, Berry, George, Brashears, Matthew E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166986/
https://www.ncbi.nlm.nih.gov/pubmed/30273404
http://dx.doi.org/10.1371/journal.pone.0204990
_version_ 1783360125399990272
author Genkin, Michael
Wang, Cheng
Berry, George
Brashears, Matthew E.
author_facet Genkin, Michael
Wang, Cheng
Berry, George
Brashears, Matthew E.
author_sort Genkin, Michael
collection PubMed
description McPherson’s Blau space and affiliation ecology model is a powerful tool for analyzing the ecological competition among social entities, such as organizations, along a combination of sociodemographic characteristics of their members. In this paper we introduce the R-based Graphical User Interface (GUI) package Blaunet, an integrated set of tools to calculate, visualize, and analyze the statuses of individuals and social entities in Blau space, parameterized by multiple sociodemographic traits as dimensions. The package is able to calculate the Blau statuses at the nodal, dyadic, and meso levels based on three types of information: sociodemographic characteristics, group affiliations (e.g., membership in groups/organizations), and network ties. To facilitate this, Blaunet has the following five main capabilities, it can: 1) identify a list of possible salient dimensions; 2) calculate, plot, and analyze niches for social entities by measuring the social distance along the salient dimensions between individuals affiliated with them; 3) generate Blau bubbles for individuals, thereby allowing the study of interpersonal influence of similar others even with limited or no network information; 4) capture niche dynamics cross-sectionally by calculating the intensity of exploitation from the carrying capacity and the membership rate; and 5) analyze the niche movement longitudinally by estimating the predicted niche movement equations. We illustrate these capabilities of Blaunet with example datasets.
format Online
Article
Text
id pubmed-6166986
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-61669862018-10-19 Blaunet: An R-based graphical user interface package to analyze Blau space Genkin, Michael Wang, Cheng Berry, George Brashears, Matthew E. PLoS One Research Article McPherson’s Blau space and affiliation ecology model is a powerful tool for analyzing the ecological competition among social entities, such as organizations, along a combination of sociodemographic characteristics of their members. In this paper we introduce the R-based Graphical User Interface (GUI) package Blaunet, an integrated set of tools to calculate, visualize, and analyze the statuses of individuals and social entities in Blau space, parameterized by multiple sociodemographic traits as dimensions. The package is able to calculate the Blau statuses at the nodal, dyadic, and meso levels based on three types of information: sociodemographic characteristics, group affiliations (e.g., membership in groups/organizations), and network ties. To facilitate this, Blaunet has the following five main capabilities, it can: 1) identify a list of possible salient dimensions; 2) calculate, plot, and analyze niches for social entities by measuring the social distance along the salient dimensions between individuals affiliated with them; 3) generate Blau bubbles for individuals, thereby allowing the study of interpersonal influence of similar others even with limited or no network information; 4) capture niche dynamics cross-sectionally by calculating the intensity of exploitation from the carrying capacity and the membership rate; and 5) analyze the niche movement longitudinally by estimating the predicted niche movement equations. We illustrate these capabilities of Blaunet with example datasets. Public Library of Science 2018-10-01 /pmc/articles/PMC6166986/ /pubmed/30273404 http://dx.doi.org/10.1371/journal.pone.0204990 Text en © 2018 Genkin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Genkin, Michael
Wang, Cheng
Berry, George
Brashears, Matthew E.
Blaunet: An R-based graphical user interface package to analyze Blau space
title Blaunet: An R-based graphical user interface package to analyze Blau space
title_full Blaunet: An R-based graphical user interface package to analyze Blau space
title_fullStr Blaunet: An R-based graphical user interface package to analyze Blau space
title_full_unstemmed Blaunet: An R-based graphical user interface package to analyze Blau space
title_short Blaunet: An R-based graphical user interface package to analyze Blau space
title_sort blaunet: an r-based graphical user interface package to analyze blau space
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166986/
https://www.ncbi.nlm.nih.gov/pubmed/30273404
http://dx.doi.org/10.1371/journal.pone.0204990
work_keys_str_mv AT genkinmichael blaunetanrbasedgraphicaluserinterfacepackagetoanalyzeblauspace
AT wangcheng blaunetanrbasedgraphicaluserinterfacepackagetoanalyzeblauspace
AT berrygeorge blaunetanrbasedgraphicaluserinterfacepackagetoanalyzeblauspace
AT brashearsmatthewe blaunetanrbasedgraphicaluserinterfacepackagetoanalyzeblauspace