This is the sixth post for the Twitter Approval Matrix with data that spanned the month of November and different sources such as klout.com, tweetsentiment.com, twopular.com, scraping archives, and observations. This month I received help from Joe Fernandez the CEO of Klout.com. Joe continues to provide some great ‘hard’ data that allowed me to better place more items on the grid this month. This month I have included Twitter Trends which is simply the raw trend found on Twitter. When I mention “influence scale” this comes from Klout and is basically a weighted measure that shows how much amplification a message/topic gets from Tweeters who have lots of followers, get lots of RTs, and get a message widely disseminated.
A quick refresher, the matrix shows four quadrants used to describe trends found on Twitter. The Y-axis is partly analytical and shows popularity (mostly through scraped numbers) or perceived popularity (in the future nominated by you). The other part of the grid is more curated and subjective. The X-axis has been plotted based on my personal opinion. You may agree or disagree with my placements and that’s all good to me. After all, this is partially about taste and numbers. The matrix and plots do not represent a thorough analytical treatment, but rather a view of the trends that could be found in data sources allowing me to plot with some sense of relevance.
For this post, I’ve limited the data and activity to the month of November. Again, I’ll continue with this project as long as I get enough feedback/help. So, if you are interested in contributing, you can comment here, or read the original post to figure out the best way for you to submit your plots.
I hope you enjoy this and see it as a potentially useful tool to monitor trends that your fellow readers are both contributing to and tracking.