5 research outputs found

    典型性に基づくWeb検索と分析に関する研究

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    京都大学0048新制・課程博士博士(情報学)甲第18617号情博第541号新制||情||96(附属図書館)31517京都大学大学院情報学研究科社会情報学専攻(主査)教授 田中 克己, 教授 吉川 正俊, 教授 黒橋 禎夫学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDFA

    Collaboration in N-th Order Derivative Creation

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    In derivative creation activity, where new content is created based on existing content, it has become popular for multiple creators to collaborate to create new derivative content. In this paper, we analyze the collaboration of music-related derivative videos on a video sharing service. Specifically, by using 83,496 collaborative videos created by 22,841 creators, we analyze the collaboration from the following two viewpoints: video popularity and creator activity. Our analysis results showed that collaborative videos tend to become more popular than non-collaborative ones, the collaboration is not a one-off activity but a continuous one, and creators who have collaboration experience are active for a longer time than inexperienced creators, etc

    Songrium Derivation Factor Analysis: A Web Service for Browsing Derivation Factors by Modeling N-th Order Derivative Creation

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