Visualizing and evaluating the growth of multi-institutional collaboration based on research network analysis

Area of Science:

• Biomedical Research
• Bibliometrics
• Network Science

Background:

• Research collaboration is crucial for scientific productivity and innovation.
• Multi-institutional collaboration integrates diverse expertise for enhanced biomedical research.
• Analyzing the impact of multi-institutional collaboration requires effective methodologies.

Purpose of the Study:

• To present a pipeline for analyzing multi-institutional research collaboration.
• To visualize and analyze collaboration networks based on publication co-authorship.
• To assess the growth of research collaboration within the Cleveland Clinical and Translational Science Collaborative (CTSC).

Main Methods:

• Constructed research networks from publication co-authorship data.
• Extracted publication data using SciVal Expert™.
• Visualized and analyzed collaboration networks using Gephi.

Main Results:

• The developed pipeline effectively visualizes and analyzes large-scale institutional collaboration.
• Analysis of the CTSC co-authorship network demonstrated substantial growth in inter-institutional research collaboration.
• The approach proved effective in rendering informative and aesthetically appealing network diagrams.

Conclusions:

• The proposed collaboration analysis pipeline is effective for studying multi-institutional research.
• Significant growth in research collaboration among CTSC members across partner institutions was observed.
• Network visualization provides valuable insights into academic innovation and collaborative patterns.