Seiya Tomonaga

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Identifying important users from social media has recently attracted much attention in information and knowledge management community. Although researchers have focused on users' knowledge levels on certain topics or influence degrees on other users in social networks, previous works have not studied users' prediction ability on future popularity. In this(More)
The goal of our research is to discover factors which predict which words will become buzzwords–terms representing topics that have become popular–within the blogosphere. In this paper, we propose a method which evaluates bloggers’ buzzword prediction ability by analyzing how early bloggers mentioned past buzzwords. We do so by measuring how early a(More)
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