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Hot Topic Detection in News Blog Based on W2T Methodology

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Wisdom Web of Things

Abstract

A social event is often unlimitedly amplified and promptly spread in blogspace, and it is valuable to correctly detect blog hot topics for managing the cyberspace. Although hot topic detection techniques have a great improvement, it is more significant o find what determines the life span of a blog topic, because the online consensus brought by the topic unavoidably experiences the real life. The W2T (Wisdom Web of Things) methodology considers the information organization and management from the perspective of Web services, which contributes to a deep understanding of online phenomena such as users’ behaviors and comments in e-commerce platforms and online social networks. This chapter first applies the W2T methodology to analyze the formation and evolution of a blog hot topic, and some influential factors which determine the development of the topic are identified to recognize hot topics. And then, the construction of a blog topic model considers information granularity in order to detect and track the evolution of the topic. Experimental results show that the proposed method for detecting the blog hot topic is feasible and effective.

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Acknowledgments

The study was supported by National Natural Science Foundation of China (61272345).

Author information

Authors and Affiliations

  1. International WIC Institute, Beijing University of Technology, Beijing, 100124, China

    Erzhong Zhou & Jiajin Huang

  2. Beijing Advanced Innovation Center for Future Internet Technology, The International WIC Institute, Beijing University of Technology, Beijing, China

    Ning Zhong

  3. Department of Life Science and Informatics, Maebashi Institute of Technology, 460-1 Kamisadori-Cho, Maebashi, 371-0816, Japan

    Ning Zhong

  4. Faculty of Science and Technology, Queensland University of Technology, Brisbane, QLD, 4001, Australia

    Yuefeng Li

Authors
  1. Erzhong Zhou
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  2. Ning Zhong
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  3. Yuefeng Li
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  4. Jiajin Huang
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Corresponding author

Correspondence to Ning Zhong .

Editor information

Editors and Affiliations

  1. Dep of Life Sci & Informatic, Maebashi Institute of Technology Dep of Life Sci & Informatic, Maebashi, Japan

    Ning Zhong

  2. Faculty of Computer and Information Sciences, Hosei University, Tokyo, Japan

    Jianhua Ma

  3. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  4. Faculty of Computer and Information Science, Hosei University , Tokyo, Japan

    Runhe Huang

  5. Department of Mathematics and Computing, The University of Southern Queensland, Toowoomba, Queensland, Australia

    Xiaohui Tao

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Zhou, E., Zhong, N., Li, Y., Huang, J. (2016). Hot Topic Detection in News Blog Based on W2T Methodology. In: Zhong, N., Ma, J., Liu, J., Huang, R., Tao, X. (eds) Wisdom Web of Things. Web Information Systems Engineering and Internet Technologies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-319-44198-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-44198-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44196-2

  • Online ISBN: 978-3-319-44198-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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