Focused Citation Count: A Combined Measure of Relevancy and Quality

Tetsuya Nakatoh, Hayato Nakanishi, Kensuke Baba, Sachio Hirokawa

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

    7 Citations (Scopus)

    Abstract

    Literature survey of scientific articles depends on the relevancy and the quality of the obtained list. Relevancy might be controlled by an appropriate search query and the relevancy ranking of the search result. Citation count (CC) is widely used and useful as an easy measure to evaluate the quality of articles. However, articles with high citation count might cover a wide area, while they might have the low relation to a query. Moreover, relevancy and citation count are two independent measures that we cannot choose at the same time. The present paper proposes 'Focused Citation Count(FCC)', a novel measure that focuses only on the relevant articles to count the citation. We realize the integration of relevancy and quality by restricting the articles that cite the target article. Empirical evaluation was conducted with 10,186 articles on 'bibliometrics' by P@N measure, the average precision at top N search result. It is confirmed that the ranking by the proposed method FCC gained over 0.8 and outperformed the conventional ranking by CC whose score was below 0.6.

    Original languageEnglish
    Title of host publicationProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    EditorsSachio Hirokawa, Kiyota Hashimoto, Tokuro Matsuo, Tsunenori Mine
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages166-170
    Number of pages5
    ISBN (Electronic)9781479999583
    DOIs
    Publication statusPublished - Jan 6 2016
    Event4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, Japan
    Duration: Jul 12 2015Jul 16 2015

    Publication series

    NameProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015

    Other

    Other4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    Country/TerritoryJapan
    CityOkayama
    Period7/12/157/16/15

    All Science Journal Classification (ASJC) codes

    • Information Systems
    • Computer Networks and Communications
    • Computer Science Applications
    • Computer Vision and Pattern Recognition

    Cite this