Abstract
The goal of this work is to capture diffusion patterns in social media, and to understand meaningful associations between the diffusion patterns and thematic features of the corresponding information. To do so, we have developed a Twitter-based diffusion monitoring system (called TweetScope) to efficiently collect the datasets from Twitter and conduct the proposed discovery process. Particularly, we expect that this work is feasible on establishing business strategies of various organizations.
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Trung, D.N., Jung, J.J., Lee, N., Kim, J. (2013). Thematic Analysis by Discovering Diffusion Patterns in Social Media: An Exploratory Study with TweetScope. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_28
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DOI: https://doi.org/10.1007/978-3-642-36543-0_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36542-3
Online ISBN: 978-3-642-36543-0
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