This photo is from an article by Stephen Ornes at Discover Magazine:Map: Welcome to the Blogosphere
The blogosphere is the most explosive social network you’ll never see. Recent studies suggest that nearly 60 million blogs exist online, and about 175,000 more crop up daily (that’s about 2 every second). Even though the vast majority of blogs are either abandoned or isolated, many bloggers like to link to other Web sites. These links allow analysts to track trends in blogs and identify the most popular topics of data exchange. Social media expert Matthew Hurst recently collected link data for six weeks and produced this plot of the most active and interconnected parts of the blogosphere. [...]The article goes on to break the map down into six major groupings. Large white dots represent popular websites. Number one is the DailyKos. Number 4 is Michelle Malkin. See the whole article for the others and the explanations of what it all means.
Related Link:
What "Map: Welcome to the Blogosphere" Doesn't Tell You!
Dave Lucas has quite a few things to say about the Discover Magazine article. He looks at the many variables that need to be considered when looking at web traffic data, in order to get a more complete understanding of what it all means.
I'm not sure I would agree with all his conclusions, but it is an interesting read on a fascinating topic. If this subject is at all interesting to you, I would head on over there for a visit.
2 comments:
Chas,
I visited michellemalkin.com long before it became a blog. She's a unique situation. MM was at the right website at the right time!!! I followed Wendy Cheng's blog from days BEFORE she was blogspot's "blogger of the month" which launched her career. Technorati is NOT God-o-rati: for more than 16 months they IGNORED the world's #1 blogger, Xu Jinglei (link in my sidebar to her blog) and it took T'rati a long time to track and list MySpace blogs, and I'll bet there still are some glitches in the system!
Dave
Dave,
It's true that there are lots of variables that can skew the data about web traffic and what it means. You sure have touched on many of those variables in your blogpost, so I'm adding a link to it here.
Thanks for posting.
Post a Comment