title: Social Network: a Cytoscape app for visualizing co-authorship networks.
abstract: 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.
authors.affiliation: The Donnelly Centre, University of Toronto, Toronto, ON, M5S 1A8, Canada.
authors.forename: Victor
authors.initials: V
authors.lastname: Kofia
authors.affiliation: The Donnelly Centre, University of Toronto, Toronto, ON, M5S 1A8, Canada.
authors.forename: Ruth
authors.initials: R
authors.lastname: Isserlin
authors.affiliation: Faculty of Medicine, University of Toronto, Toronto, ON, M5S 1A8, Canada.
authors.forename: Alison M J
authors.initials: AM
authors.lastname: Buchan
authors.affiliation: The Donnelly Centre, University of Toronto, Toronto, ON, M5S 1A8, Canada.
authors.forename: Gary D
authors.initials: GD
authors.lastname: Bader
keywords: co-publication networks; collaborative networks; data visualization; social network analysis