A Study on Characteristics of Topic-Specific Information Cascade in Twitter (データ工学)
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概要
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In this paper, we study patterns of information diffusion and behaviors of participating users in Twitter. We investigate characteristics of hashtag cascade in various topics by exploiting distributions of user influence, which are cascade ratio, tweet ratio, and time interval. We show that topics of major hashtags can be characterized by these distributions. For example, people using political hashtags often influence many of their friends and continuously discuss on the topics. Our experiments also show that the hashtags can be roughly clustered into topics using only those measures, and miss-clustered hashtags have some special roles in their topics.
- 2011-12-09
著者
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Toyoda Masashi
Institute Of Industrial Science The University Of Tokyo
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Kitsuregawa Masaru
Institute Of Industrial Science The University Of Tokyo
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RATTANARITNONT Geerajit
Institute of Industrial Science The University of Tokyo
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