Page 19 - Special Topic Session (STS) - Volume 2

STS451 Yuji M.
connection the comparison is required considering both the number of
researchers in each specialized field and the number of links between
specialized fields.
Formula 1 is able to solve this problem. In this formula, the maximum
number of connections is calculated from the number of researchers in each
specialized field, and convert the actual number of connections into a ratio.

Attention: There was no significant result among the other countries at the
significance level 0.05.
Figure 3 Approximation degree by country in Big Data
The analysis result is shown in Figure 3. The international comparison of
related fields of Big data was conducted, showing that the research co-author
relationships in Japan, Australia, Canada, Korea, Italy, Germany are very similar

6. Discussion and Conclusion
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. The international comparison of related fields of Big data was
conducted, showing that the research co-author relationships in Japan,
Australia, Canada, Korea, Italy, Germany are very similar.
Using the multiple comparison method presented in this paper, we were
able to quantitatively show the contribution of each field in co-author analysis.

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