| Building intelligent systems in open, heterogeneous, dynamic, distributed environments | 17 May 2008, 04:53:36 EDT ![]() |
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Web 2.0 Mining: Analyzing Social Media Authors: Anupam Joshi, Tim Finin, Akshay Java, Anubhav Kale, and Pranam Kolari 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. Type: InProceedings Tags: social media, web 2.0 Google Scholar: search Number of downloads: 640 Available for download as
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