Evaluation of Advanced Analysis Method for Human Relationship Using Fuzzy Theory

  • Toshihiro Yoshizumi
  • Tomoo Sumida
  • Yasunori Shiono
  • Mitsuhiro NamekawaEmail author
  • Kensei Tsuchida
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 940)


In this paper, we evaluate a system to analyze human relationships using fuzzy theory. Over the past few decades, a considerable number of studies have been conducted on human relationship analysis. Moreno proposed the analysis method called sociometry analysis. Sociometry analysis is a generally method for social network analysis and this method is used various studies. Sumida has detailed results by studying the elementary school group of students from the perspective of pedagogy. Yamashita et al. applied fuzzy theory to the sociometry analysis. Yamashita’s method is to analyze human relationships based on the partition tree. When sociometry analysis is carried out, there is a disadvantage that it depends on the analyst. By using a fuzzy model, the same result will be obtained no matter who goes. In previous studies, the strength of the influence among the groups was not specified, and analyses focusing on subgroups were not conducted. Therefore, we have newly developed an analytical method to solve the problem based on Yamashita’s research. In order to evaluate these new methods, we used one example of data and its results. As a result of verification, we were able to obtain results equivalent to those done by experts and confirmed the usefulness of this new method.


Analysis for human relationships Sociometry Sociogram Fuzzy theory Partition tree 


  1. 1.
    Moreno, J.L.: The Sociometry Reader. The Free Press, Glencoe (1960)Google Scholar
  2. 2.
    Tsuda, E., Katsumata, Y., et al.: An application of fuzzy graph to sociometry analysis. J. Jpn. Soc. Fuzzy Theory Syst. 6(3), 570–584 (1994)CrossRefGoogle Scholar
  3. 3.
    Shimizu, S., Yamashita, H.: Approximate graphical analysis of fuzzy sociogram. Biomed. Fuzzy Hum. Sci. Official J. Biomed. Fuzzy Syst. Assoc. 1(1), 43–47 (1995)Google Scholar
  4. 4.
    Yamashita, H., Takizawa, T., et al.: Introduction to Fuzzy Theory and Its Application. Kyoritsu-Shuppan (2010)Google Scholar
  5. 5.
    Uesu, H.: Structure analysis of fuzzy node fuzzy graph and its application. Biomed. Soft Comput. Hum. Sci. 11(1), 41–49 (2006)Google Scholar
  6. 6.
    Shinkai, K.: Fuzzy cluster analysis and its evaluation method. Biomed. Soft Comput. Hum. Sci. 13(2), 3–9 (2008)Google Scholar
  7. 7.
    Grunspan, D.Z., Wiggins, B.L., Goodreau, S.M.: Understanding classrooms through social network analysis: a primer for social network analysis in education research. CBE Life Sci. Educ. 13(2), 167–178 (2014)CrossRefGoogle Scholar
  8. 8.
    Kumai, H., Miyata, T., Teramoto, Y.: Proposal of specialist search system using human relationship analysis, pp. 13–18. IPSJ SIG Technical report, 2007-GN-064(79) (2007)Google Scholar
  9. 9.
    Sumida, M.: The Sociological Study of Child’s Peer Group. Kyushu University Press, Fukuoka (1995)Google Scholar
  10. 10.
    Sumiya, T., Yamamoto, S., et al.: Interpersonal network extraction based on non-verbal communication by using motion picture processing, pp. 1–9. IPSJ SIG Technical report, 2012-CDS-3(4) (2012)Google Scholar
  11. 11.
    Pomian, K.E., Zwolak, J.P., Sayre, E.C., Franklin, S.V., Kustusch, M.B.: Using social network analysis on classroom video data. arXiv preprint arXiv:1710.11055 (2017)
  12. 12.
    Satoh, A., Makino, Y., et al.: Fuzzy graph analysis system for sociometry on latticed display. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp. 139–144 (2001)Google Scholar
  13. 13.
    Yoshizumi, T., Sumida, T., et al.: Advanced analysis method for human relationship based on fuzzy theory. J. Jpn. Soc. Fuzzy Theory Intell. Inform. 29(4), 637–643 (2017)Google Scholar
  14. 14.
    Kuz, A., Falco, M., et al.: Using social network analysis in the classroom: a case study applying nodexl. In: XXI Congreso Argentino de Ciencias de la Computación (Junín, 2015) (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Toshihiro Yoshizumi
    • 1
  • Tomoo Sumida
    • 2
  • Yasunori Shiono
    • 3
  • Mitsuhiro Namekawa
    • 1
    Email author
  • Kensei Tsuchida
    • 4
  1. 1.Faculty of Management and EconomicsKaetsu UniversityKodaira-shiJapan
  2. 2.Graduate School of EducationTohoku UniversitySendai-shiJapan
  3. 3.Organization for Information Strategy and PromotionYokohama National UniversityYokohama-shiJapan
  4. 4.Faculty of Information Science and ArtsToyo UniversityKawagoe-shiJapan

Personalised recommendations