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Due to the ease of use in blogs, this new form of web content has become a popular online media. Detecting the popularity of blogs in the massive blogosphere is a critical issue. General search engines that ignore the social interconnection between bloggers have less discrimination of blogs. This study extracts real-world blog data and analyzes the interconnection in these blog communities for blog...
The Community Question Answer (CQA) service is a typical forum of Web 2.0 that shares knowledge among people. There are thousands of questions that are posted and solved every day. Because of the various users of the CQA service, question search and ranking are the most important topics of research in the CQA portal. In this study, we addressed the problem of identifying questions as being hard or...
Analyzing interconnections among blog communities reveals blogger behaviors that could help in assessing blog quality. A new approach to ranking blogs uses a social blog network model based on blogs' interconnection structure and a popularity ranking method, called BRank. Experiments show that the proposed method can discriminate blogs with various degrees of popularity in the blogosphere.
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