Using twitter lists to determine top influencers

As a follower of Jeff Clark’s Neoformix blog, I always discover something new and interesting about data visualization and analysis. Recently, he’s been looking at how twitter’s new lists function can be used to define and categorize topical relevancy and influence. Using this process he’s created a twitter profile dedicated to aggregating the top 100 in a series of topics. This is a far more powerful approach than the uber influencer ranking used in TweetLevel. Influence varies widely via topic, and the one size fits all approach is scattershot at best. Follow @Top100in to stay up to date.

