Hint: Don’t Reveal Your Gmail RSS Feed (Security Pro News - 10/03/2006)- "Okay, this should be a no-brainer, but just because Gmail offers RSS feeds doesn't mean you should offer them to the public." Permanent link to this item in the archive.

From Tame The Web (10/03/2006) - "Are Libraries limited, obsolete? I don't think so..." Permanent link to this item in the archive.

New(ish) Librar* Blog -@ the library - "Exploring the world of learning, research, and technology together."  Permanent link to this item in the archive.

Google is Not the Net - (Library Journal - 09/25/2006) - "How librarians adapt over the next generation could be the difference between a vibrant future for libraries and a steady descent into insignificance. The Internet constantly changes, Janes observes, and so must the profession. “You can’t fight it, so you shouldn’t. The web is about information. So are we. It’s about community. So are we. What we as a profession must do is figure out those things we do better or differently and do those things.”  Permanent link to this item in the archive.

Ref Logs Now (Library Journal - 10/01/2006) - "The reference desk at Michigan State University (MSU) had settled into a routine, but when recent library school grad Emily Barton collaborated with Arlene Wesmantel, the head of reference, on using a web log as the internal memory for reference, the project took off. What follows is the postmortem web log conversation about the implementation of a new communication tool for staff at MSU during the 2005–06 school year." Permanent link to this item in the archive.

Friends and neighbors on the Web - "The Internet has become a rich and large repository of information about us as individuals. Anything from the links and text on a user's homepage to the mailing lists the user subscribes to are reflections of social interactions a user has in the real world. In this paper we devise techniques and tools to mine this information in order to extract social networks and the exogenous factors underlying the networks' structure. In an analysis of two data sets, from Stanford University and the Massachusetts Institute of Technology (MIT), we show that some factors are better indicators of social connections than others, and that these indicators vary between user populations. Our techniques provide potential applications in automatically inferring real world connections and discovering, labeling, and characterizing communities." Permanent link to this item in the archive.

 

Last modified: Friday, October 31, 2008 at 9:24 PM.

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