Web 2.0 Mining: Analyzing Social Media

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.
Date: October 10, 2007
Book Title: Proceedings of the NSF Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation
Type: InProceedings
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Bibtex


@InProceedings{Web_2_0_Mining_Analyzing_Social_Media,
  author = "Anupam Joshi and Tim Finin and Akshay Java and Anubhav Kale and Pranam Kolari",
  title = "{Web 2.0 Mining: Analyzing Social Media}",
  month = "October",
  year = "2007",
  booktitle = "Proceedings of the NSF Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation",
}