Twitter Topic Progress Visualization using Micro-clustering

Takako Hashimoto; Akira Kusaba; Dave Shepard; Tetsuji Kuboyama; Kilho Shin; Takeaki Uno

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Paper

Twitter Topic Progress Visualization using Micro-clustering

Topics: Data Mining and Algorithms for Big Data

In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 585-592, 2020 , Valletta, Malta

Authors: Takako Hashimoto ¹ ; Akira Kusaba ² ; Dave Shepard ³ ; Tetsuji Kuboyama ² ; Kilho Shin ² and Takeaki Uno ⁴

Affiliations: ¹ Chiba University of Commerce, Japan ; ² Gakushuin University, Japan ; ³ University of California, Los Angeles, U.S.A. ; ⁴ National Institute of Informatics, Japan

Keyword(s): Twitter, Topic Transition Analysis, Micro Clustering, Time Series Analysis.

Abstract: This paper proposes a method for visualizing the progress of a bursty topic on Twitter using a previously-proposed micro-clustering technique, which reveals the cause and the progress of a burst. Micro-clustering can efficiently represent sub-topics of a bursty topic, which allows visualizing transitions between these subtopics over time. This process allows for a Twitter user to see the origin of a bursty topic more easily. To show the method’s effectiveness, we conducted an experiment on a real bursty topic, a controversy over childcare leave in Japan. When we extract sub-topics using micro-clustering, and analyze micro-clusters over time, we can understand the progress of the target topic and discover the micro-clusters that caused the burst.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Hashimoto, T., Kusaba, A., Shepard, D., Kuboyama, T., Shin, K. and Uno, T. (2020). Twitter Topic Progress Visualization using Micro-clustering. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 585-592. DOI: 10.5220/0009160805850592

@conference{icpram20,
author={Takako Hashimoto and Akira Kusaba and Dave Shepard and Tetsuji Kuboyama and Kilho Shin and Takeaki Uno},
title={Twitter Topic Progress Visualization using Micro-clustering},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={585-592},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009160805850592},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Twitter Topic Progress Visualization using Micro-clustering
SN - 978-989-758-397-1
IS - 2184-4313
AU - Hashimoto, T.
AU - Kusaba, A.
AU - Shepard, D.
AU - Kuboyama, T.
AU - Shin, K.
AU - Uno, T.
PY - 2020
SP - 585
EP - 592
DO - 10.5220/0009160805850592
PB - SciTePress