Opinion Groups Identification in Blogosphere Based on the Techniques of Web Mining and Social Networks Analysis

Recently, it is a very important issue about how to identify opinion groups in blogosphere, due to it is essential for many applications who want to utilize the information in blogs. Web mining is now claimed as the most powerful tool to extract use information and social networks analysis is a tool for us to identify the relationship and structure in a network. Therefore, in this paper, we will propose a system architecture to apply the techniques of web mining and SNA for opinion groups identification in blogs. A model about how to measure the similarity of different groups by using the mean of SNA is also discussed in this paper. Furthermore, an experiment has been performed as an empirical study as well as the analysis results will be discussed in this paper.

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