Co-authorship Networks and Scientific Productivity in Iranian Research Centers
Author Information
Author(s): Yousefi-Nooraie Reza, Akbari-Kamrani Marjan, Hanneman Robert A, Etemadi Arash
Primary Institution: Tehran University of Medical Sciences
Hypothesis
The study aims to examine the association between scientific productivity and impact indicators with co-authorship network features in Iranian academic research centers.
Conclusion
The study found that a star-shaped network structure and dependency on a single key member are common features in the research centers, and that scientific output measures correlate with the network structure.
Supporting Evidence
- Centers with denser and more cooperative networks showed better scientific outputs.
- Star-shaped networks may be less productive than those with denser and more horizontal connections.
- Collaboration with outsiders was higher in one center, facilitating idea exchange.
Takeaway
The way researchers work together in teams can affect how much good research they produce. In some centers, one person does most of the work, which can be a problem.
Methodology
The study analyzed co-authorship networks by collecting data on articles published in English from three research centers and calculated social network measures.
Potential Biases
The reliance on a few central actors may skew the representation of collaboration and productivity.
Limitations
The study's definition of co-authorship may not fully capture all forms of scientific collaboration, and it excluded non-English articles.
Participant Demographics
The study focused on researchers from three high-profile Iranian research centers.
Statistical Information
P-Value
0.0001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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