Web 2.0 Mining: Analyzing Social MediaTweet
Book Title: Proceedings of the NSF Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation
Date: October 10, 2007
Abstract: Social media systems such as blogs, photo and link sharing sites, wikis and on-line forums are estimated to produce up to one third of new Web content. One thing that sets these ”Web 2.0” sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data. Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data and metadata. We describe recent work on building systems that analyse these emerging social media systems to recognize spam blogs, find opinions on topics, identify communities of interest, derive trust relationships, and detect influential bloggers.
Google Scholar: pe3c2PBmgAUJ
Number of Google Scholar citations: 5 [show citations]
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