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Social Network: a Cytoscape app for visualizing co-authorship networks

Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an...

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Detalles Bibliográficos
Autores principales: Kofia, Victor, Isserlin, Ruth, Buchan, Alison M.J., Bader, Gary D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760270/
https://www.ncbi.nlm.nih.gov/pubmed/26949516
http://dx.doi.org/10.12688/f1000research.6804.3
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author Kofia, Victor
Isserlin, Ruth
Buchan, Alison M.J.
Bader, Gary D.
author_facet Kofia, Victor
Isserlin, Ruth
Buchan, Alison M.J.
Bader, Gary D.
author_sort Kofia, Victor
collection PubMed
description Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an edge linking two individuals represents a connection. The app focuses on creating visual summaries of individuals connected by co-authorship links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-authorship networks can be visualized and analyzed to better understand collaborative research networks or to communicate the extent of collaboration and publication productivity among a group of researchers, like in a grant application or departmental review report. It can also be useful as a research tool to identify important research topics, researchers and papers in a subject area.
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spelling pubmed-47602702016-03-04 Social Network: a Cytoscape app for visualizing co-authorship networks Kofia, Victor Isserlin, Ruth Buchan, Alison M.J. Bader, Gary D. F1000Res Software Tool Article Networks that represent connections between individuals can be valuable analytic tools. The Social Network Cytoscape app is capable of creating a visual summary of connected individuals automatically. It does this by representing relationships as networks where each node denotes an individual and an edge linking two individuals represents a connection. The app focuses on creating visual summaries of individuals connected by co-authorship links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-authorship networks can be visualized and analyzed to better understand collaborative research networks or to communicate the extent of collaboration and publication productivity among a group of researchers, like in a grant application or departmental review report. It can also be useful as a research tool to identify important research topics, researchers and papers in a subject area. F1000Research 2015-12-23 /pmc/articles/PMC4760270/ /pubmed/26949516 http://dx.doi.org/10.12688/f1000research.6804.3 Text en Copyright: © 2015 Kofia V et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Kofia, Victor
Isserlin, Ruth
Buchan, Alison M.J.
Bader, Gary D.
Social Network: a Cytoscape app for visualizing co-authorship networks
title Social Network: a Cytoscape app for visualizing co-authorship networks
title_full Social Network: a Cytoscape app for visualizing co-authorship networks
title_fullStr Social Network: a Cytoscape app for visualizing co-authorship networks
title_full_unstemmed Social Network: a Cytoscape app for visualizing co-authorship networks
title_short Social Network: a Cytoscape app for visualizing co-authorship networks
title_sort social network: a cytoscape app for visualizing co-authorship networks
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760270/
https://www.ncbi.nlm.nih.gov/pubmed/26949516
http://dx.doi.org/10.12688/f1000research.6804.3
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