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Future of Information and Communication Conference

FICC 2019: Advances in Information and Communication pp 756–772Cite as

Towards Enhancing Historical Analogy: Clustering Users Having Different Aspects of Events

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

Abstract

Studying history can provide numerous benefits for finding meaningful connections or analogies over time. Several researchers have studied how to support promoting historical analogy by computer supported learning; however, supporting group discussions to promote the analogy still remains unexplored. In this paper, we propose a novel clustering algorithm to form users who have different aspects of the same past event in order to ease exchange ideas of what aspects they focus to analyze the event. We implemented our algorithms and evaluated them in terms of getting accuracies of forming users having different aspects. Experimental results proved that only our algorithm creates suitable groups.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/West_African_Ebola_virus_epidemic.

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This work was supported by JSPS KAKENHI Grant Number 16K16314.

Author information

Authors and Affiliations

  1. Interfaculty Initiative in Information Studies, The University of Tokyo, Bunkyō, Japan

    Ryohei Ikejiri

  2. Department of Information and Media Studies, Nagoya Bunri University, Inazawa, Japan

    Ryo Yoshikawa

  3. University Education Center, Tokyo Metropolitan University, Hachioji, Japan

    Yasunobu Sumikawa

Authors
  1. Ryohei Ikejiri
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  2. Ryo Yoshikawa
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  3. Yasunobu Sumikawa
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Corresponding author

Correspondence to Ryohei Ikejiri .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Ikejiri, R., Yoshikawa, R., Sumikawa, Y. (2020). Towards Enhancing Historical Analogy: Clustering Users Having Different Aspects of Events. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_52

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