Characterization of Tumblr articles by information ow pathway

Abstract

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.