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This paper addresses clustering of blog users and posts in blogosphere. First, we model blogosphere as a bipartite graph where blog users and posts correspond to nodes of two types and actions on posts performed by blog users corresponds to links. Next, for clustering in blogosphere, we employ LinkClus, a link-based algorithm that finds clusters of nodes in a network effectively and efficiently. For...
A blog network, composed of blogs and their relations, may exhibit two different propensities characterized by the purpose of use: an information-oriented propensity and a friendship-oriented propensity. Both propensities coexist in a blog network, and the degree of these propensities may play an important role in business and policy decisions of blog-related business. In this paper, we propose an...
Blogspace is a primary example of online social networks. In blogspace, there are a number of communities, each of which consists of members having dense relationships with one another. In this paper, we address formation and evolution of blog communities. We first make two claims: (1) a high level of contents similarity of blogs increases the likelihood of their belonging to the same community in...
A blog is a personal web site, usually maintained by an individual, with posts that contain private thoughts. Existing algorithms for web-page ranking are not directly applicable to post ranking in blog environment since posts have their unique features different from those of web-pages. In this paper, we first model the relationships between bloggers and posts as a bipartite graph referred to as...
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