First story detection in TDT is hard
Proceedings of the ninth international conference on Information and knowledge management
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Personalized Popular Blog Recommender Service for Mobile Applications
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Utilizing Social Relationships for Blog Popularity Mining
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Mining and visualizing local experiences from blog entries
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Active microbloggers: identifying influencers, leaders and discussers in microblogging networks
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
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A blog (weblog) lets people promptly publish content (such as comments) relating to other blogs through hyperlinks. This type of web content can be considered as a conversation rather than a collection of archived documents. To capture ‘hot’ conversation topics from blogs and deliver them to users in a timely manner, we propose a method of discovering bloggers who take important roles in conversations. We characterize bloggers based on their roles in previous blog threads (a set of blog entries comprises a conversation). We provide a definition of agitators as bloggers’ roles who have a great influence on bloggers’ discussion. We consider that these bloggers are likely to be useful in identifying hot conversations. In this paper, we discuss models of blogs and blog thread data, methods of extracting blog threads, discovering important bloggers.