Anita Elberse, a Harvard Business School associate professor, has a really interesting article in the new Harvard Business Review that analyzes some Long Tail data and challenges some of the theory's predictions.

2collab, the research collaboration platform from Elsevier, the world's leading publisher of science, technology and medical (STM) information, announced today the results of a survey, asking researchers about the role of social media in their professional lives. The survey, which yielded over 1,800 responses, revealed that scientists are using blogs, wikis, and social networking and bookmarking applications primarily for professional reasons. Results show that these social media applications have provided scientists and researchers with additional resources to help them collaborate, connect, share and discover information.

Web 2.0 is a buzzword introduced in 2003-04 which is commonly used to encompass various novel phenomena on the World Wide Web. Although largely a marketing term, some of the key attributes associated with Web 2.0 include the growth of social networks, bi-directional communication, various 'glue' technologies, and significant diversity in content types. We are not aware of a technical comparison between Web 1.0 and 2.0. While most of Web 2.0 runs on the same substrate as 1.0, there are some key differences. We capture those differences and their implications for technical work in this paper. Our goal is to identify the primary differences leading to the properties of interest in 2.0 to be characterized. We identify novel challenges due to the different structures of Web 2.0 sites, richer methods of user interaction, new technologies, and fundamentally different philosophy. Although a significant amount of past work can be reapplied, some critical thinking is needed for the networking community to analyze the challenges of this new and rapidly evolving environment.

The SCImago Journal & Country Rank is a portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.). These indicators could be used to assess and analyze scientific domains.

GroupLens is a research lab in the Department of Computer Science and Engineering at the University of Minnesota. We conduct research in several areas, including: * recommender systems * online communities * mobile and ubiquitious technologies * digital libraries * local geographic information systems

Slope One is a family of algorithms used for Collaborative filtering introduced in Slope One Predictors for Online Rating-Based Collaborative Filtering by Daniel Lemire and Anna Maclachlan. Arguably, it is the simplest form of non-trivial item-based collaborative filtering based on ratings

CRISP = Cross Industry Standard Process for Data Mining