The impact of data mining on digital libraries - a bibliometric study | [VFAST Transactions on Software Engineering • 2023]

Author(s):

1. Sana Alam: Department of Computer Science and Information Systems, Institute of Business Management (IoBM),Karachi,Pakistan

2. Shehnila Zardari: Department of Software Engineering, NED University of Engineering and Technology, Main University Road, Karachi, Pakistan

3. Umme Laila: Department of Computer Science and Information Systems, Institute of Business Management (IoBM),Karachi,Pakistan

4. Muhammad Abbas: Department of Computer Science and Information Systems, Institute of Business Management (IoBM), Karachi, Pakistan

5. Noor Ul Huda: Department of Computer Science and Information Systems, Institute of Business Management (IoBM), Karachi, Pakistan

6. Muhammad Asghar Khan: Department of Computer Science and Information Systems, Institute of Business Management (IoBM), Karachi, Pakistan

Abstract:

Purpose: The study provides a comprehensive bibliometric assessment of Data Mining in Digital/ Virtual Libraries to depict the importance of Data Mining technology with respect to Digital/ Virtual Libraries. Methodology: Our research work includes 215 studies from the past 23 years that are analyzed on the basis of carefully articulated 10 research questions. The tools used for performing analysis regarding visualization aspects include VOSviewer and Bibliometrix (R studio). Findings: The evaluation shows that the year 2017 has the highest number of publications. Our work also represents that the use of Data Mining in Digital/ Virtual Libraries has influenced multiple domains, however, it is frequently used in Computer Science. An assessment of the top 20 countries suggests that USA and China are the major contributors in terms of published articles for a time period of 23 years. In the study, we use VOSviewer for co-word analysis to represent the relatedness of documents based on keywords. Our study further explores the research themes and topic dendrogram with respect to Data Mining in Digital/ Virtual Libraries by using Bibliometrix (R studio). Our research findings also show that although most research work is published in the English language yet there are few major studies in other languages also. Originality: The research provides insight into the above-mentioned aspects of bibliometrics, enabling researchers and scholars to make better decisions regarding their research.

Page(s): 124-137

DOI: 10.21015/vtse.v11i4.1700

Published: Journal: VFAST Transactions on Software Engineering, Volume: 11, Issue: 4, Year: 2023

Keywords:

Bibliometric , Mining , virtual library , digital library

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