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Scientific analyses of blogging

By Meredith Farkas | July 2, 2006

Lilia Efimova, who herself has written some really fascinating studies of blogging, has collected papers from Computational Approaches to Analysing Weblogs and the 3rd Annual Workshop on the Weblogging Ecosystem. There are some really interesting studies in there, including Discovery of Blog Communities Based on Mutual Awareness and Browsing System for Weblog Articles based on Automated Folksonomy. If you’re interested in exploring the more analytical side of blogging and community-formation, her blog is definitely an interesting one to read.

Topics: blogging | 4 Comments »

4 Responses to “Scientific analyses of blogging”

  1. Steven M. Cohen Says:
    July 2nd, 2006 at 10:51 am

    I’ve been a Lilia fan for years. A must for anyone interested in the research end of blogging.

  2. Lilia Says:
    July 2nd, 2006 at 12:29 pm

    Thanks for the nice words :)

    Another way to find my writing on blogging is at iceberg.telin.nl – and then publications or presentations…

  3. Meredith Farkas Says:
    July 2nd, 2006 at 1:30 pm

    Thanks Lilia. I changed the link to reflect the URL you provided. I definitely read your blog and your publications a great deal while working on my book. It really helped to inform my view of blogging communities/networks. :)

  4. Roy Tennant Says:
    July 3rd, 2006 at 1:23 am

    I have a “small world” experience regarding this post. I am at a seminar in Tokyo at the moment, and I just heard Prof. Hideaki Takeda talk about his blog work. Then I ran across this posting (using the open wireless net here) which points to a conference where he presented a paper. He is sitting next to me, and I will point this out at the next break. Wow.