Resilience of Scientific Collaboration Networks in Young Universities Based on Bibliometric and Network Analysis

Oleksandr Kuchanskyi, Yurii Andrashko, Andrii Biloshchytskyi (), Aidos Mukhatayev, Svitlana Biloshchytska () and Firuza Numanova
Additional contact information
Oleksandr Kuchanskyi: School of Artificial Intelligence and Data Science, Astana IT University, Astana 010000, Kazakhstan
Yurii Andrashko: Department of System Analysis and Optimization Theory, Uzhhorod National University, 88000 Uzhhorod, Ukraine
Andrii Biloshchytskyi: Department of Administration, Astana IT University, Astana 010000, Kazakhstan
Aidos Mukhatayev: School of General Education Disciplines, Astana IT University, Astana 010000, Kazakhstan
Svitlana Biloshchytska: School of Artificial Intelligence and Data Science, Astana IT University, Astana 010000, Kazakhstan
Firuza Numanova: Higher School of Economics and Management, Turan University, Almaty 050001, Kazakhstan

Data, 2025, vol. 10, issue 11, 1-29

Abstract: The resilience of scientific collaboration networks is a key factor in ensuring the long-term academic development of young universities. This study examines the resilience of scientific collaboration networks among young universities based on bibliometric and network analysis. Based on bibliometric data from the open database OpenAlex (as of September 2025, the database contains over 271 million scientific publications and 105 million authors), weighted undirected co-authorship graphs were constructed for four young universities from China, Kazakhstan, and the United Kingdom: Astana IT University, AITU (founded in 2019), Nazarbayev University, NU (2010), University of Suffolk, US (2007), and ShanghaiTech University, STU (2013). Key resilience indicators were calculated, including clustering coefficients, assortativity, modularity, and the dynamics of the largest connected component under different node removal scenarios. The study revealed that NU and STU have a highly resilient structure of scientific collaboration. AITU has been characterized by dynamic development and increasing resilience, particularly after 2023. The US network is fragmented and dependent on a small group of core researchers. However, despite its limited scale, it demonstrates a certain stability in preserving its core. Therefore, recommendations for the development of young universities have been formulated based on the research results. The findings highlight the importance of fostering horizontal scientific ties, deepening international cooperation, and developing long-term institutional strategies for young universities.

Keywords: scientific collaboration networks; co-authorship analysis; resilience; young universities; bibliometrics; scientometrics data; multi-university community; OpenAlex (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/10/11/184/pdf (application/pdf)
https://www.mdpi.com/2306-5729/10/11/184/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:10:y:2025:i:11:p:184-:d:1789847

Access Statistics for this article

Data is currently edited by Ms. Becky Zhang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().