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Social Network: a Cytoscape app for visualizing co-authorship networks
Victor Kofia1, Ruth Isserlin1, Alison M J Buchan2
1The Donnelly Centre, University of Toronto, Toronto, ON, M5S 1A8, Canada.
F1000Research
|March 15, 2016
Summary
The Social Network Cytoscape app visualizes academic co-authorship networks from bibliographic data. This tool aids in understanding research collaborations and identifying key researchers and topics.
Area of Science:
- Bibliometrics
- Network Science
- Scientific Collaboration Analysis
Background:
- Networks are valuable for analyzing connections between individuals.
- Co-authorship links in academia represent significant research relationships.
- Visualizing these networks can reveal collaboration patterns and productivity.
Purpose of the Study:
- To introduce the Social Network Cytoscape app for automated co-authorship network visualization.
- To demonstrate the utility of such networks for analyzing academic collaborations.
- To highlight the app's potential for research and reporting.
Main Methods:
- Utilizing the Social Network Cytoscape app to process bibliographic data.
- Representing individuals as nodes and co-authorship as edges in a network graph.
- Leveraging data from sources such as PubMed, Scopus, and InCites.
Main Results:
- Automated generation of visual summaries of connected researchers.
- Creation of networks illustrating co-authorship patterns.
- Identification of key researchers, topics, and publications within subject areas.
Conclusions:
- The Social Network Cytoscape app effectively visualizes academic collaboration networks.
- These visualizations enhance the understanding of research productivity and collaboration.
- The tool serves as a valuable asset for research analysis and communication in academia.
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