Page 13 - Special Topic Session (STS) - Volume 2

STS451 Yuji M.
anomalies in advance. The Internet of Things (IoT), Big Data, and artificial
intelligence (AI) technologies have been attracting attention as techniques for
creating such advantages.
Different approaches are envisaged in research on the same subject. In this
research, focusing on Big-data, we show what fields of researchers in different
countries contribute to research in that field, And for the purpose of providing
indices for measuring the degree of the Big Data. We showed the degree of
integration of different fields of the Big Data related article data from 2016 is
utilized, which included 2544 articles from top 10 countries/regions by using
the dissertation database Web of Science.
The analysis is performed in two steps. First, the contribution of each field
was qualitatively shown using MM-Index [3], which is a method of co-author
analysis. Then, using the multiple comparison method presented in this paper,
the contribution was quantitatively shown and international comparison was
performed.

2. Literature Review and Background
2.1. Classification of research evaluation
The classification of institutional research (IR) was organized by Negishi
et al. [4], Cho et al. [5], and Wagner et al. [6]. They divided IR into the
following two categories: the number of relevant published articles, and
the number of citations within and between these articles. This
classification system is shown in Table 1. The purpose of analysing the
number of articles is to determine the productivity index of each article
and to obtain a scale index of the research activities. For this, a simple
tabulation is primarily used. By doing this before analysing the citation
statistics, it allows us to determine the consumption index of each article
and the quality index of each of the research activities (Group 1). The
consumption index is indicative of the degree of utilization, and to obtain
this, a citation analysis or a co-author analysis is used [4]. An analysis of
the acknowledgments, the co-words, or the attendant classification is also
used for minor cases [5]. Furthermore, a simple tabulation is also primarily
used. By doing this before analysing the specialized field analysis and
diversity analysis, it allows us to determine the specialized field index of
the article/author and the diversity index of each article/author (Group 2).
Finally, the results of Group 1 and Group 2 allow us to determine the
different field fusion indices of the articles/authors [6].
When analysing the number of articles, the betweenness and the
following article analytics will be evaluated: field, year, country of origin,
and affiliation. In addition, correlation analyses have been performed for
other economic statistical indices [4]. For example, from an international
comparison of article productivity in microbiology for the years 1995–

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