Global Research Trends in “Big Data” during 2012-21: A Data Mining based on Scientometric Tools

Simple item page
dc.contributor.authorBorgohain, Dhruba Jyoti
dc.contributor.authorYadav, Sunil Kumar
dc.contributor.authorVerma, Manoj Kumar
dc.date.accessioned2022-11-29T08:54:26Z
dc.date.available2022-11-29T08:54:26Z
dc.date.issued2022-11
dc.description13th International CALIBER-2022, BHU, Varanasi, UP, 17-19 November 2022en_US
dc.description.abstractThe term “big data” is becoming widespread throughout the world, as it has wide usage because it is no longer limited to the IT industry and entrepreneurship but has entered every aspect of media and communications. But the reason for using big data is only it’s ability in searching, collecting and interpreting huge datasets. Now, the purpose of this paper is to scrutinize the papers related to big data and other relevant fields. Using bibliometric methods and techniques these papers are analyzed and reviewed. The author examined the citation behavior, co-authorship patterns, research hot spots, and trending topics using both traditional and state-of-the-art network visualization and text mining in bibliometric techniques. From the analysis of keyword co-occurrence, a set of 12 clusters of keywords are discovered. Each cluster with identical color and theme. The research hot spots discovered are blockchain, digital twin, artificial intelligence, and the internet of things. The emergence of these keywords indicate that these areas are having lot of scope for future research. To best of knowledge, this study is a first attempt to discover the research streams and will help the researchers to work in these areas to explore new areas and applications of big data in relevant fields.en_US
dc.identifier.isbn9789381232101
dc.identifier.urihttps://ir.inflibnet.ac.in/handle/1944/2394
dc.language.isoen_USen_US
dc.publisherINFLIBNET Centre, Gandhinagaren_US
dc.relation.ispartofseriesCALIBER-2022;37
dc.subjectData Visualizationen_US
dc.subjectText Miningen_US
dc.subjectBibliometric Analysisen_US
dc.subjectBibliometrix Ren_US
dc.subjectBig Dataen_US
dc.subjectNetwork Visualizationen_US
dc.subjectCluster Analysisen_US
dc.titleGlobal Research Trends in “Big Data” during 2012-21: A Data Mining based on Scientometric Toolsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
37.pdf
Size:
1.18 MB
Format:
Adobe Portable Document Format
Description:
13th International CALIBER-2022, BHU, Varanasi, UP, 17-19 November 2022
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CALIBER 2022: Varanasi, UP