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Updated: May 13, 2026

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

Network effects on scientific collaborations.

Shahadat Uddin¹, Liaquat Hossain, Kim Rasmussen

¹Project Management Program and Centre for Complex Systems Research, The University of Sydney, Sydney, Australia. shahadat.uddin@sydney.edu.au

|March 8, 2013

Summary

This summary is machine-generated.

Author network position impacts scientific collaboration success. Higher centrality (degree and betweenness) correlates with more joint publications and citations in steel structure research.

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Area of Science:

Bibliometrics
Social Network Analysis
Scientific Collaboration

Background:

Co-authorship network analysis explores how network structure affects scientific collaboration outcomes.
Limited understanding exists regarding network properties associated with highly cited authors and increased joint publications.

Purpose of the Study:

To investigate the influence of authors' network positions on scientific collaboration performance (citation count) and formation (tie strength).
To analyze the relationship between social network analysis (SNA) measures and collaboration outcomes in the 'steel structure' research field.

Main Methods:

Utilized social network analysis (SNA) measures: degree centrality, closeness centrality, and betweenness centrality.
Analyzed a co-authorship dataset from the 'steel structure' research field (2005-2009).
Employed correlation and regression methods for statistical validation of findings.

Main Results:

Citation count of research articles is positively correlated with the degree and betweenness centrality of co-authors.
Authors' degree and betweenness centrality values positively correlate with the strength of their scientific collaborations (measured by the number of joint publications).

Conclusions:

An author's position within a co-authorship network significantly influences both the performance (citations) and formation (collaboration strength) of scientific collaborations.
Network centrality measures are key indicators for understanding collaboration dynamics and research impact.