Big Data for Public Domain: A bibliometric and visualized study of the scientific discourse during 2000–2020 (original) (raw)
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CERN European Organization for Nuclear Research - Zenodo, 2022
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Purpose: Big data, a buzzword of the present time, is a term used for extremly large data sets generated from the digital process which is not possible to analyze by traditional methods. These data sets are produced by digital devices such as smart phones, remote sensing, camera, microphones, RFID etc. The literature on big data is growing exponentially since 2011. Big data is tending to establish as a very important research field. This paper aims to explore the evolution, growth and scientific collaboration of the Indian publications in the field of big data. Design/methodology/approach: A survey approach is used in the study while data for the study is collected from Scopus database for the year 2001 to 2015. Bibliometric analysis, visualization and mapping software are used to present the current status, growth trends and collaboration in big data research to examine its diffusion in Indian scientific literature. Findings: We found that the big data research in India is gaining momentum and its diffusion and adoption is increasing tremendously. Conference and seminars are used to do social connect and interaction within the research community. The collaboration at institution level is found usual while collaboration at international level is low. Application of big data in health sciences and life sciences is yet to be explored in comparison to the social sciences and physical sciences. Originality/ Value: This paper presents the growth, trends and collaboration in big data literature by the use of sophisticated bibliometric software and visualization software.
Who is who in Big Social Data? : A Bibliographic Network Analysis Study
2017
The aim of the study is to investigate who are advancing the knowledge on Big Social Data and the related concept of Social Big Data, ‘who’ are these people citing and building their work on, and what are the topics and outlets where the discussion takes place. For that purpose, data was extracted from Thomson Reuters Web of Science with the search term “Big Social Data” and “Social Big Data” spanning the years from 2012 to 2016. The search resulted in 58 articles in 39 different outlets. In order to go into the depth of Big Social Data and Social Big Data, co-author bibliographic network analysis was performed on the extracted data. The co-author network analysis revealed 149 nodes (authors), and 308 edges (co-authoring relationships) between the authors. Betweenness centrality were calculated for the nodes to demonstrate who are the central authorities and their domain on the topic of Big Social Data and Social Big Data. The visualisation based on co-author network analysis provid...
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Springer, 2015
This paper presents a scientometric analysis of research work done on the emerging area of ‘Big Data’ during the recent years. Research on ‘Big Data’ started during last few years and within a short span of time has gained tremendous momentum. It is now considered one of the most important emerging areas of research in computational sciences and related disciplines. We have analyzed the research output data on ‘Big Data’ during 2010–2014 indexed in both, the Web of Knowledge and Scopus. The analysis maps comprehensively the parameters of total output, growth of output, authorship and country-level collaboration patterns, major contributors (countries, institutions and individuals), top publication sources, thematic trends and emerging themes in the field. The paper presents an elaborate and one of its kind scientometric mapping of research on ‘Big Data’.