Articlegold2022

Analyzing Interdisciplinary Research Using Co‐Authorship Networks

Mati Ullah · Abdul Shahid · Muhammad Roman · Muhammad Assam · Muhammad Fayaz · Yazeed Yasin Ghadi +1 more

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scientometrics and bibliometrics research Complex Network Analysis Techniques Interdisciplinary Research and Collaboration

Abstract

With the advancement of scientific collaboration in the 20 th century, researchers started collaborating in many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental understandings of research topics. Various bibliometric methods are used to quantify the scientific collaboration among researchers and scientific communities. Among these different bibliometric methods, the co‐authorship method is one of the most verifiable methods to quantify or analyze scientific collaboration. In this research, the initial study has been conducted to analyze interdisciplinary research (IDR) activities in the computer science domain. The ACM has classified the computer science fields. We selected the Journal of Universal Computer Science (J.UCS) for experimentation purposes. The J.UCS is the first Journal of Computer Science that addresses a complete ACM topic. Using J.UCS data, the co‐authorship network of the researcher up to the 2 nd level was developed. Then the co‐authorship network was analyzed to find interdisciplinary among scientific communities. Additionally, the results are also visualized to comprehend the interdisciplinary among the ACM categories. A whole working web‐based system has been developed, and a forced directed graph technique has been implemented to understand IDR trends in ACM categories. Finally, the IDR values between the categories are computed to quantify the collaboration trends among the ACM categories. It was found that “Artificial Intelligence” and “Information Storage and Retrieval”, “Natural Language Processing and Information Storage and Retrieval”, and “Human‐Computer Interface” and “Database Applications” were found the most overlapping areas by acquiring an IDR score of 0.879, 0.711, and 0.663, respectively.

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References

2014Bibliometric Methods in Management and Organization 1973Co‐citation in the scientific literature: A new measure of the relationship between two documents 2011Science mapping software tools: Review, analysis, and cooperative study among tools 1994Subjective Performance Measures in Optimal Incentive Contracts 2006Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis*2004Lean or agile: A solution for supply chain management in the textiles and clothing industry?2015Does Interdisciplinary Research Lead to Higher Citation Impact? The Different Effect of Proximal and Distal Interdisciplinarity 2016Co-authorship network analysis in health research: method and potential use

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