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Analyzing Collective Intelligence Through Sentiment Networks in Self-organized Douban Communities

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2012))

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Abstract

Understanding the communication behaviors of online community users, particularly their crowd intelligence dynamics, has long been a focal point within network communication research. In this study, we present an approach integrating the BERTopic topic model, advanced Natural Language Processing (NLP) techniques, and Social Network Analysis, to meticulously dissect the intricate dynamics of emotion propagation and evolution within collective behaviors that unfold on social networks. Our investigation delves deeply into this complex landscape, exploring the relationships between the sentiment of the initial post and subsequent responses, the interplay between sentiment strength and activity levels, and the correlation between sentiment polarity and the intensity of activity. This study highlights the significance of harnessing the combined power of BERTopic, NLP, and social network methodologies to decode the subtleties of emotional propagation and transformation.

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Authors and Affiliations

  1. School of Journalism and Communication, South China University of Technology, Guangzhou, 510006, Guangdong, China

    Tiantian Xie & Xiaokun Wu

  2. Center for Data Analysis and Information Visualization, South China University of Technology, Guangzhou, 510006, Guangdong, China

    Xiaokun Wu

Authors
  1. Tiantian Xie
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  2. Xiaokun Wu
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Corresponding author

Correspondence to Xiaokun Wu .

Editor information

Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Fudan University, Shanghai, China

    Tun Lu

  3. Harbin Engineering University, Harbin, China

    Tong Wang

  4. Tongji University, Shanghai, China

    Hongfei Fan

  5. Guangdong University of Technology, Guangzhou, China

    Dongning Liu

  6. Tongji University, Shanghai, China

    Bowen Du

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Xie, T., Wu, X. (2024). Analyzing Collective Intelligence Through Sentiment Networks in Self-organized Douban Communities. In: Sun, Y., Lu, T., Wang, T., Fan, H., Liu, D., Du, B. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2023. Communications in Computer and Information Science, vol 2012. Springer, Singapore. https://doi.org/10.1007/978-981-99-9637-7_4

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  • DOI: https://doi.org/10.1007/978-981-99-9637-7_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9636-0

  • Online ISBN: 978-981-99-9637-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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