I wrote a previous post (This picture says 100 words), about the use of a cool online tool Wordle.net which I used to analyze the profile descriptions of my Twitter followers, where larger words in the image represent a higher frequency of that word used. Here, I decided to apply the same methodology to the user generated Twitter Lists that my followers have so graciously added me to. I was thinking that I could discover something about how my followers think about my tweets based on the names and descriptions of their lists. Thankfully, nothing too disparaging... I've been called much worse.
|Wordle.net keyword mashup based on user generated Twitter lists that @PainPoint appears.|
I have always been interested with "dynamic adhoc networks" so it was neat for me to see how through others actions (people adding me to a list), together have now formed a collection or description of my voice (tweets) that I could never come up with myself. Through this visualization exercise I think I may have some better understanding of my audience, or at least I better know what some my audience thinks (and perhaps expects) of me and my future content.