Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
On the bursty evolution of blogspace
WWW '03 Proceedings of the 12th international conference on World Wide Web
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Information diffusion through blogspace
ACM SIGKDD Explorations Newsletter
A social hypertext model for finding community in blogs
Proceedings of the seventeenth conference on Hypertext and hypermedia
BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA '06 Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
We the Media: Grassroots Journalism by the People, for the People
We the Media: Grassroots Journalism by the People, for the People
Splog detection using self-similarity analysis on blog temporal dynamics
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Clustering Blogs with Collective Wisdom
ICWE '08 Proceedings of the 2008 Eighth International Conference on Web Engineering
Measuring Blog Influence: Recognition, Activity Generation, and Novelty
International Journal of Interactive Communication Systems and Technologies
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Blogging becomes a popular way for a Web user to publish information on the Web. Bloggers write blog posts, share likes and dislikes, voice opinions, provide suggestions, and report news. In this work we study influential bloggers in both community as well as individual blogs. We synthesize virtual communities by aggregating individual blogs with similar interests. We formulate the problem for identifying influential bloggers and synthesizing virtual communities from individual blogs, present a preliminary model, discuss the challenges, and pave the way for building a robust model that allows finding various types of the influentials. To illustrate these issues, we conduct experiments with data from a real-world blog site, evaluate multi-facets of the problem, and discuss unique challenges. We conclude with interesting findings and future work.