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A Study on the Characteristics of the Long-Term Web Forum Users Using Social Network Analysis

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Book cover Current Trends in Web Engineering (ICWE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11609))

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Abstract

A web forum is an online place where people who are interested in a specific topic talk with each other. A medical web forum has been used to obtain the health and wellbeing information to prepare for an aging society. This paper proposes the methodology using sentiment analysis and social network analysis to identify the factors which turn newbies into long-term users in the medical web forum. In particular, this study analyzes the influences of the social network of the Alzheimer’s Disease & Dementia (AD) medical web forum and suggests strategies to help patients, their family and medical officials suffering from Alzheimer.

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Author information

Authors and Affiliations

  1. Sejong Cyber University, 121, Gunja-ro, Gwangjin-gu, Seoul, Republic of Korea

    Min Jung Lee

  2. Soonchunhyang University, 22, Soonchunhyang-ro, Sinchang-myeon, Asan-si, Chungcheongnam-do, Republic of Korea

    Jiyoung Woo

Authors
  1. Min Jung Lee
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  2. Jiyoung Woo
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Corresponding author

Correspondence to Jiyoung Woo .

Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Marco Brambilla

  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Cinzia Cappiello

  3. Department of Software Engineering, University of Malaya, Kuala Lumpur, Malaysia

    Siew Hock Ow

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Lee, M.J., Woo, J. (2020). A Study on the Characteristics of the Long-Term Web Forum Users Using Social Network Analysis. In: Brambilla, M., Cappiello, C., Ow, S. (eds) Current Trends in Web Engineering. ICWE 2019. Lecture Notes in Computer Science(), vol 11609. Springer, Cham. https://doi.org/10.1007/978-3-030-51253-8_4

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  • DOI: https://doi.org/10.1007/978-3-030-51253-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51252-1

  • Online ISBN: 978-3-030-51253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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