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A BIBLIOMETRIC ANALYSIS ON THE LEVEL OF SENTIMENTS ON CRYPTOCURRENCY

Authors: Dhaval Shah; Dr. Deepak R. Raste;

A BIBLIOMETRIC ANALYSIS ON THE LEVEL OF SENTIMENTS ON CRYPTOCURRENCY

Abstract

Cryptocurrency has captured significant attention from the investors, policymakers, entrepreneurs and a financial market. The presence of crypto currency and their investment pattern needs to be study thoroughly as it is ultimately connected with the behavior of investors. The main purpose of this study is to provide a bibliometric analysis of scholarly work on cryptocurrency. This study is applying the tools such as a VOSviewer and R programming bibliometric analysis for specific time zone of 2018 to 2024.The analysis has been done on 1515 academic and industry research papers from various reputed journals like Scopus and web of science for finding the key areas regarding what type of study has been done so far in area of cryptocurrency and blockchain. By the VOSviewer and Bibliometric tool this study visualizes keywords co-occurrence network, citations, key trends and major publication journals. The review highlights that the transformative potential of cryptocurrency in traditional financial system while addressing concerns relating to volatility, security mentioned by various authors in various countries. By identifying the gap in existing research and suggesting direction for the future inquiry, this study leads to more clarity regarding the study done so far in the cryptocurrency and other digital currency by various authors in recent time period. Through an analysis of research, this work helps in both overall and in-depth views over current state of research in crypto currency. This paper tires to contribute to a deeper understanding of the nature of cryptocurrency and its roles in finance.

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Keywords

Cryptocurrency, VOS viewer, Blockchain, Bibliometric Analysis, R Programming

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green