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Outline

Title
Abstract
Introduction
Methodology
Results and Discussion
Analysis of Author Keywords and Keywords Plus
Multi-Regression Analysis
Conclusion
References
All Topics
Computer Science
Data Science

A bibliometric approach to tracking big data research trends

Profile image of Abdullah GaniAbdullah Gani

2017, Journal of Big Data

https://doi.org/10.1186/S40537-017-0088-1
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18 pages

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Abstract

The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to determine the worldwide research trends on the field of big data and its most relevant research areas. A bibliometric approach was performed to analyse a total of 6572 papers including 28 highly cited papers and only papers that were published in the Web of Science TM Core Collection database from 1980 to 19 March 2015 were selected. The results were refined by all relevant Web of Science categories to computer science, and then the bibliometric information for all the papers was obtained. Microsoft Excel version 2013 was used for analyzing the general concentration, dispersion and movement of the pool of data from the papers. The t test and ANOVA were used to prove the hypothesis statistically and characterize the relationship among the variables. A comprehensive analysis of the publication trends is provided by document type and language, year of publication, contribution of countries, analysis of journals, analysis of research areas, analysis of web of science categories, analysis of authors, analysis of author keyword and keyword plus. In addition, the novelty of this study is that it provides a formula from multi-regression analysis for citation analysis based on the number of authors, number of pages and number of references.

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    Damian Andrew Tamburri

    Journal of Big Data

    Big data or data-intensive applications (DIAs) process large amounts of data for the purpose of gaining key business intelligence through complex analytics using machinelearning techniques [20, 35]. These applications are receiving increased attention in the last years given their ability to yield competitive advantage by direct investigation of user needs and trends hidden in the enormous quantities of data produced daily by the average Internet user. According to Gartner [1] business intelligence and analytics applications will remain a top focus for Chief-Information Officers (CIOs) of most Fortune 500 companies until at least 2019-2021. However, the cost of ownership of the systems that process big data analytics are high due to infrastructure costs, steep learning curves for the different frameworks (such as Apache Storm [21], Apache Spark [2] or Apache Hadoop [3]) typically involved in design and development of big data applications and complexities in large-scale architectures. A key complexity of the above design and development activity lies in quickly and continuously refining the configuration parameters of the middleware and service platforms on top of which the DIA is running [12]. The process in question is especially complex as the number of middleware involved in DIAs design increases; the more middleware are involved the more parameters need co-evaluation (e.g., latency or beaconing times, caching policies, queue retention and more)-fine-tuning these "knobs" on so many

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    A Crisis in “Open Access”: Should Communication Scholarly Outputs Take 77 Years to Become Open Access?
    Mahmoud Danaee

    SAGE Open

    This study diachronically investigates the trend of the “open access” in the Web of Science (WoS) category of “communication.” To evaluate the trend, data were collected from 184 categories of WoS from 1980 to 2017. A total of 87,997,893 documents were obtained, of which 95,304 (0.10%) were in the category of “communication.” In average, 4.24% of the documents in all 184 categories were open access. While in communication, it was 3.29%, which ranked communication 116 out of 184. An Open Access Index (OAI) was developed to predict the trend of open access in communication. Based on the OAI, communication needs 77 years to fully reach open access, which undeniably can be considered as “crisis in scientific publishing” in this field. Given this stunning information, it is the time for a global call for “open access” by communication scholars across the world. Future research should investigate whether the current business models of publications in communication scholarships are encoura...

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    Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database
    Anne Parlina

    Information, 2020

    Recently, the popularity of big data as a research field has shown continuous and widescale growth. This study aims to capture the scientific structure and topic evolution of big data research using bibliometrics and text mining-based analysis methods. Bibliographic data of journal articles regarding big data published between 2009 to 2018 were collected from the Scopus database and analyzed. The results show a significant growth of publications since 2014. Furthermore, the findings of this study highlight the core journals, most cited articles, top productive authors, countries, and institutions. Secondly, a unique approach to identifying and analyzing major research themes in big data publications was proposed. Keywords were clustered, and each cluster was labeled as a theme. Moreover, the papers were divided into four sub-periods to observe the thematic evolution. The theme mapping reveals that research on big data is dominated by big data analytics, which covers methods, tools, supporting infrastructure, and applications. Other critical aspects of big data research are security and privacy. Social networks and the Internet of things are significant sources of big data, and the resources and services offered by cloud computing strongly support the management and processing of big data.

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    Hatching start-ups for sustainable growth: a bibliometric review on business incubators
    Kameliya Deyanova

    Review of Managerial Science

    Business incubators hatch start-ups, helping them to survive their early stage and to create a solid foundation for sustainable growth by providing services and access to knowledge. The great practical relevance led to a strong interest of researchers and a high output of scholarly publications, which made the field complex and scattered. To organize the research on incubators and provide a systematic overview of the field, we conducted bibliometric performance analyses and science mappings. The performance analyses depict the temporal development of the number of incubator publications and their citations, the most cited and most productive journals, countries, and authors, and the 20 most cited articles. The author keyword co-occurrence analysis distinguishes six, and the bibliographic coupling seven research themes. Based on a content analysis of the science mappings, we propose a research framework for future research on business incubators.

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    The Developmental Trajectory of a Decade of Research on Mental Health and Well-Being amongst Graduate Students: A Bibliometric Analysis
    Oluwatobi Owojori

    International Journal of Environmental Research and Public Health

    The journey of graduate students through academia can be a difficult road plagued with several roadblocks due to several intersectional factors. These difficulties often impact the students’ mental health with severe consequences on their well-being and personal and academic achievements. There is a critical need for researchers to conduct studies in response to the positive mental well-being for this group of trainees, considering their peculiar role in the scholarly environment. This study aimed to explore the scientific research on the health and well-being of graduate students; typify the scientific landscape and development trajectory, cooperation networks, and fundamental research areas; and identify areas of needed research in this field. A bibliometric analysis of articles indexed in Scopus and published in the past decade (2012 to 2021) was undertaken. The results revealed that the research on graduate students’ mental health and well-being has increased over the years, sig...

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