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

Links