Summary
People are easily affected by others’ comments, especially if they include topics interesting to us. In other words, interesting topics diffuse from person to person in a community. In this chapter, I consider ‘influence’ as a unit of diffusion, and propose the influence diffusion model (IDM) to find valuable information such as influential comments, opinion leaders, and interesting terms from the archives of text-based communication. The IDM is applied to the archives stored in the Yahoo!JAPAN Message Boards, and the results of the experimental evaluation are presented.
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© 2003 Springer-Verlag Berlin Heidelberg
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Matsumura, N. (2003). Topic Diffusion in a Community. In: Ohsawa, Y., McBurney, P. (eds) Chance Discovery. Advanced Information Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06230-2_7
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DOI: https://doi.org/10.1007/978-3-662-06230-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05609-3
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