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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Topic-Oriented Analysis of Information Diffusion in a Blogosphere
verfasst von : Kyu-Hwang Kang, Seung-Hwan Lim, Sang-Wook Kim, Min-Hee Jang, Byeong-Soo Jeong
Erschienen in: Database and Expert Systems Applications
Verlag: Springer Berlin Heidelberg
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A blogosphere is a representative online social network established through blog users and their relationships. Understanding information diffusion is very important in developing successful business strategies for a blogosphere. In this paper, we discuss how to predict information diffusion in a blogosphere. Documents diffused over a blogosphere deal with information on
different topics
in reality. However, previous studies of information diffusion did not consider the information topic in analysis, which leads to low accuracy in predictions. In this paper, we propose a
topic-oriented model
to accurately predict information diffusion in a blogosphere. We also define four primary factors associated with topic-oriented diffusion, and propose a method to assign a diffusion probability between blog users for
each topic
by using regression analysis based on these four factors. Finally, we show the effectiveness of the proposed model through a series of experiments.