Introduction to algorithms
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Parameter free bursty events detection in text streams
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Identifying opinion leaders in the blogosphere
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Seeking stable clusters in the blogosphere
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Blog Community Discovery and Evolution Based on Mutual Awareness Expansion
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Discovering social media experts by integrating social networks and contents
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
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Blogs have become an important media of self-expression recently. Millions of people write blog posts, share their interests, give suggestions and form groups in blogspace. An important way to understand the development of blogspace is to identify topic experts as well as blog communities and to further find how they interact with each other. Topic experts are influential bloggers who usually publish "authoritative" opinions on a specific topic and influence their followers. Here we first discuss the challenge of efficient identifying topic experts and then propose a novel model to quantify topic experts. Based on the topic experts identified, we further propose a new approach to identify the related blog communities on that topic. Experiments are conducted and the results demonstrate that our approaches are very effective and efficient.