Co-occurrence analysis focused on blogger communities

Shin Ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    We studied the problem of finding a subspace of Web pages that is contextually consistent for co-occurrence analysis. We looked at blogs and proposed blogger-based co-occurrence analysis, which assumes that two items are relevant to each other if they appear in any of the blog entries posted by the same blogger. We show that (1) bloggerbased analysis outperforms page-based analysis in solving context-sensitive problems and that (2) analysis focused on bloggers forming a community yields better performance compared with that focused on isolated bloggers.

    Original languageEnglish
    Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
    Pages372-376
    Number of pages5
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW
    Duration: 2008 Dec 92008 Dec 12

    Other

    Other2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
    CitySydney, NSW
    Period08/12/908/12/12

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    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Science Applications
    • Electrical and Electronic Engineering

    Cite this

    Sato, S. Y., Fukuda, K., Hirotsu, T., Kurihara, S., & Sugawara, T. (2008). Co-occurrence analysis focused on blogger communities. In Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (pp. 372-376). [4740475] https://doi.org/10.1109/WIIAT.2008.28