Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding Related Pages Using the Link Structure of the WWW
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Community: from neighborhood to network
Communications of the ACM - The digital society
Discovering Web Communities in the Blogspace
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Analyzing a Korean blogosphere: a social network analysis perspective
Proceedings of the 2011 ACM Symposium on Applied Computing
Spectral analysis of a blogosphere
Proceedings of the 20th ACM international conference on Information and knowledge management
Social event radar: a bilingual context mining and sentiment analysis summarization system
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Trustable aggregation of online ratings
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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In the blogosphere, there exist posts relevant to a particular subject and blogs that show interests in the subject. In this paper, we define a set of such posts and blogs as "blog community" and propose a method for extracting the blog community associated with a particular subject. The proposed method is based on the idea that the blogs who have performed actions to the posts of a particular subject are the ones that have interests in the subject, and that the posts which have received actions from such blogs are the ones that contain the subject. The proposed method selects a small number of seed posts that contain the subject. Then, it selects the blogs that perform actions to the seed posts over some threshold and the posts that have received actions over some threshold. By repeating these two steps, it gradually expands the blog community. The experimental results show that the proposed method exhibits a higher level of accuracy than the methods proposed in prior research.