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A Topic Trend on P2P Based Social Media

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

This paper shows a topic trend on a P2P based Social Network Service. There is a text-based Social Network Service (SNS) named Mastodon. Mastodon is a peer-to-peer and open-source SNS. Many persons and companies run Mastodon instances. We consider that there is a topic trend for each node. In this paper, we collect text messages and infer topic trend on a Mastodon instance using Latent Dirichlet Allocation(LDA). The understanding a topic trend helps to choice an instance that a user should participate.

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References

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Author information

Authors and Affiliations

  1. Ibaraki University, Hitachi, Ibaraki, Japan

    Masaki Kohana

  2. The University of Tokyo, Bunkyo, Tokyo, Japan

    Hiroki Sakaji

  3. Toyohashi University of Technology, Toyohashi, Aichi, Japan

    Akio Kobayashi

  4. Seikei University, Musashino, Tokyo, Japan

    Shusuke Okamoto

Authors
  1. Masaki Kohana
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  2. Hiroki Sakaji
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  3. Akio Kobayashi
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  4. Shusuke Okamoto
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Corresponding author

Correspondence to Masaki Kohana .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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© 2018 Springer International Publishing AG

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Kohana, M., Sakaji, H., Kobayashi, A., Okamoto, S. (2018). A Topic Trend on P2P Based Social Media. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_105

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_105

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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