Focused Citation Count: A Combined Measure of Relevancy and Quality

Tetsuya Nakatoh, Hayato Nakanishi, Kensuke Baba, Sachio Hirokawa

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    7 被引用数 (Scopus)

    抄録

    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.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    編集者Sachio Hirokawa, Kiyota Hashimoto, Tokuro Matsuo, Tsunenori Mine
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ166-170
    ページ数5
    ISBN(電子版)9781479999583
    DOI
    出版ステータス出版済み - 1月 6 2016
    イベント4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, 日本
    継続期間: 7月 12 20157月 16 2015

    出版物シリーズ

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

    その他

    その他4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    国/地域日本
    CityOkayama
    Period7/12/157/16/15

    !!!All Science Journal Classification (ASJC) codes

    • 情報システム
    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • コンピュータ ビジョンおよびパターン認識

    引用スタイル