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

            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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