Social Network: a Cytoscape app for visualizing co-publication networks
Author(s) -
Victor Kofia,
Ruth Isserlin,
A.M.J. Buchan,
Gary D. Bader
Publication year - 2015
Publication title -
f1000research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.099
H-Index - 60
ISSN - 2046-1402
DOI - 10.12688/f1000research.6804.1
Subject(s) - scopus , data science , world wide web , computer science , open peer review , social network analysis , social network (sociolinguistics) , subject (documents) , information retrieval , plant biology , medline , social media , biology , biochemistry , botany
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-publication links in academia, created from bibliographic databases like PubMed, Scopus and InCites. The resulting co-publication 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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