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Related Experiment Video

Updated: Jan 20, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Assessing Research Collaboration through Co-authorship Network Analysis.

Jesse Fagan1, Katherine S Eddens2, Jennifer Dolly3

  • 1Anderson School of Management, University of New Mexico, Albuquerque, NM, USA.

The Journal of Research Administration
|August 23, 2019
PubMed
Summary
This summary is machine-generated.

Interdisciplinary research collaboration increased among cancer center scientists, evidenced by co-authorship. Policy changes fostered this growth, but more diverse collaborations are needed.

Keywords:
co-authorshipdiversity in collaborationinterdisciplinary collaborationresearch administration policyscience of team sciencesocial network analysis

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Area of Science:

  • Team Science and Scientific Collaboration
  • Cancer Research
  • Social Network Analysis

Background:

  • Interdisciplinary research is crucial for scientific innovation and requires effective collaboration strategies.
  • The Science of Team Science (SciTS) field investigates factors influencing collaborative research, including institutional policies.
  • Social network analysis (SNA) offers methods to quantify and understand scientific collaboration patterns, particularly co-authorship networks.

Purpose of the Study:

  • To evaluate inter-programmatic collaboration trends from 2007-2014 among scientists at the Markey Cancer Center (MCC).
  • To assess the impact of institutional policies on fostering collaborative research and its effect on publication diversity.
  • To utilize Social Network Analysis (SNA) and statistical modeling to analyze co-authorship networks and collaboration dynamics.

Main Methods:

  • Employed Social Network Analysis (SNA) to map co-authorship networks among MCC research program members.
  • Utilized separable temporal exponential-family random graph models (STERGMs) to identify drivers of co-authorship tie formation.
  • Measured publication diversity over time using Blau's Index to correlate network changes with research output.

Main Results:

  • Observed a significant increase in inter-programmatic co-authorship over the 8-year study period.
  • Found that while collaboration outside of initial groups increased, tie formation remained strongest within the same research program and department.
  • Documented an increase in publication diversity, with the exception of author gender diversity, following policy changes.

Conclusions:

  • Institutional policies encouraging interdisciplinary research, implemented through informal and formal mechanisms, successfully fostered increased co-authorship.
  • Despite progress, opportunities remain to enhance the diversity and interdisciplinarity of collaborations within the cancer center.
  • SNA provides valuable insights into the evolution of scientific collaboration networks and the impact of institutional support.