Although I am sure most of the bloggers that discuss R on R-bloggers are not all that concerned with popularity, I thought it would be interesting to analyze (with R and rCharts, of course) the popularity of these bloggers using Feedly’s API.
After building the chart, I got to thinking about these two excellent posts about the nature of blog popularity.
How many more R-bloggers posts can I expect? by Markus Gesmann
Blog posts' half life - why bother? by Bruce McPherson
Clearly not posting for a month (me) is not the way to fame and glory as Google search becomes the most common referrer.
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Also, is Bruce McPherson onto something when he points out that the nature of a blog does not lend to permanence? Should every blog, especially educational ones, also have a different view of the same content that lends itself better to permanence?
For those that missed me, I’m back.
R code to get Feedly API data and build dimplejs chart: Github repo