Characterization of Tumblr articles by information ow pathway

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  • NORI Nozomi
    Department of Systems Innovation, Faculty of Engineering, The University of Tokyo
  • YAMAGUCHI Kiyohiro
    Department of Systems Innovation, Faculty of Engineering, The University of Tokyo
  • HASHIMOTO Yasuhiro
    Department of Systems Innovation, School of Engineering, The University of Tokyo
  • CHEN Yu
    Department of Systems Innovation, School of Engineering, The University of Tokyo
  • OHASHI Hirotada
    Department of Systems Innovation, School of Engineering, The University of Tokyo

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  • Tumblr における情報の伝播経路に着目した記事の特徴付け
  • Tumblr ニ オケル ジョウホウ ノ デンパ ケイロ ニ チャクモク シタ キジ ノ トクチョウズケ

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Abstract

<p>Information flow pathways seem to reflect its intermediate people's preferences and its contents. So it is expected that characteristics of information which reflect people's preferences and contents are extracted by analyzing these pathways. In this article, we show that calculating item-item similarities by information pathway is more useful for characterization of Tumblr articles than calculating by simple co-occurrence relations.</p>

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