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Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data

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Modern Approaches for Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 769))

Abstract

Twitter—a social networking service is increasingly becoming an important source of news and information for various aspects of our life. However, harnessing reliable sources is both tedious and challenging. Algorithms for mining and detecting events from Twitter have been developed. In this paper, event detection techniques are investigated. In essence, a theoretical comparison of the state-of-the-art event detection algorithms is performed along with highlights to the current issues and proper suggestions to mitigate them. In addition, a knowledge domain map analysis using CiteSpace is applied to the bibliometric data in the field in order to explore the structural dynamics of the research in this domain.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2017R1A2B4010826), and MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2013-0-00881) supervised by the IITP (Institute for Information & Communications Technology Promotion).

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Authors and Affiliations

  1. College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, South Korea

    Musa Ibarhim M. Ishag, Kwang Sun Ryu & Keun Ho Ryu

  2. Department of Software Engineering, Chungbuk National University, Cheongju, South Korea

    Jong Yun Lee

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  1. Musa Ibarhim M. Ishag
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  2. Kwang Sun Ryu
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  3. Jong Yun Lee
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Correspondence to Keun Ho Ryu .

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Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Sieminski

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  3. Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Manuel Nunez

  4. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang Thuy Ha

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Ishag, M.I.M., Ryu, K.S., Lee, J.Y., Ryu, K.H. (2018). Event Detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-76081-0_9

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