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The stability of co-authorship structures.

Marjan Cugmas1, Anuška Ferligoj1, Luka Kronegger1

  • 1grid.8954.00000000107216013Faculty of Social Sciences, University of Ljubljana, Ljubljana, Slovenia.

Scientometrics
|November 15, 2016
PubMed
Summary

This study analyzed research collaboration networks, finding that core research groups in natural/technical sciences are larger than in social sciences/humanities. Core stability did not differ significantly between these broad fields.

Keywords:
BlockmodelingNetwork dynamicsRand IndexScientific collaborationSocial networks

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Area of Science:

  • Co-authorship network analysis
  • Bibliometrics
  • Social network analysis

Background:

  • Understanding the structure and evolution of research collaboration is crucial for academic development.
  • Co-authorship networks reveal patterns of scientific interaction and knowledge production.
  • Previous studies have explored network structures, but temporal stability across diverse scientific fields requires further investigation.

Purpose of the Study:

  • To analyze the temporal stability and size of core research groups across natural/technical sciences and social sciences/humanities.
  • To compare the characteristics of co-authorship networks between different broad scientific disciplines.
  • To investigate how network structures evolve over time.

Main Methods:

  • Blockmodeling procedure to identify core research groups with a multi-core-semi-periphery-periphery structure.
  • Modified Adjusted Rand Index (MARI) to measure the stability of identified cores over time.
  • Analysis of disciplinary co-authorship networks of Slovenian researchers across two distinct time periods (1991-2000 and 2001-2010).

Main Results:

  • The assumed multi-core-semi-periphery-periphery structure was confirmed across all analyzed disciplines.
  • Average core size increased in the second time period and was consistently larger in natural/technical sciences compared to social sciences/humanities.
  • No significant differences in average core stability were found between natural/technical and social sciences/humanities when considering all stability metrics.

Conclusions:

  • Co-authorship network structures exhibit distinct characteristics regarding core size across scientific fields.
  • While overall core stability appears consistent, specific measures (e.g., excluding departing researchers) reveal higher stability in fields like Engineering and Medical Sciences compared to Humanities.
  • The findings highlight the importance of discipline-specific analyses when evaluating the dynamics of scientific collaboration networks over time.