Social Network
Social Network generates visual summaries of co-authorship networks from bibliographic databases such as PubMed, Scopus, and InCites to characterize collaborative relationships among researchers.
Key Features:
- Automated Network Creation: Constructs networks where nodes represent individual researchers and edges denote co-authorship links.
- Integration with Bibliographic Databases: Extracts bibliographic data from PubMed, Scopus, and InCites to populate the networks.
- Visualization Capabilities: Produces network visualizations that reveal collaborative patterns and publication productivity.
Scientific Applications:
- Analyzing Collaborative Research Networks: Visual summaries facilitate analysis of collaboration structures across studies and institutions.
- Supporting Grant Applications and Reviews: Illustrates the extent and nature of collaborations for use in grant preparation and departmental reviews.
- Identifying Key Researchers and Topics: Helps pinpoint influential researchers and emerging research topics within specific subject areas.
Methodology:
Extracts bibliographic records from PubMed, Scopus, and InCites and constructs co-authorship networks (nodes = researchers, edges = co-authorship) using the Social Network Cytoscape app.
Topics
Details
- License:
- GPL-2.0
- Tool Type:
- plugin
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 8/24/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Kofia V, Isserlin R, Buchan AM, Bader GD. Social Network: a Cytoscape app for visualizing co-authorship networks. F1000Research. 2015;4:481. doi:10.12688/f1000research.6804.3. PMID:26949516. PMCID:PMC4760270.
Documentation
Training material', 'General
http://baderlab.org/UserguideSocialNetworkApp