A few weeks ago, I spoke at a federal agency conference in Arlington, VA and one of the most interesting topics was the potential use of social media, by intelligence agencies, to map out and predict social unrest. So I decided to start experimenting with the concept on my own.
By combining the linguistic analysis systems of TweetPsych with Twitter’s geo tagging data (which isn’t great yet) and the Google Maps API, I was able to plot tweets on specific latitude and longitude codes based on their emotional content.
Below you’ll see 6 maps of various kinds of psychological traits and their occurrences around the city of Boston. This is just the beginning of my exploration into this kind of…
It used to be that if you wanted to get data on a certain industry, keyword, hashtag or Twitter user you had to wait for a geeky, social media scientist type to write the scripts and run the reports for you. With my new tool TweetCharts.com that’s no longer the case.
Enter any word, phrase, hashtag, URL or username and TweetCharts will return a comprehensive report, including data on reply, retweet, and link percentages as well as the most common words, most mentioned users, most used hashtags and more.
I began working on TweetCharts a few weeks ago actually on a plane. I did some pen-and-paper wire framing somewhere over the midwest, woke up the next day…
Data about Pinterest is sparse because they’ve been slow to release their API, but I was able to utilize search engine APIs to pull some data about the trendy new social site. I gathered information on over 11,000 pinned images and did some analysis to create the infographic below.
This data should be useful for Pinterest users who’d like to get more repins on the images they’ve pinned, as well as content producers who want their content pinned and repinned more.
I hope to be able to do more research into Pinterest, especially as they release their API. Let me know what data you’d like to see.
I’ve often said that the best use of Twitter is as a broadcast medium. You should be creating a ton of interesting content and sharing it with your followers. To that end I’ve done a bunch of research on how to optimize the clickthrough rate (CTR) of the links you’re tweeting.
For the purposes of this data, I’ve calculated CTR as the number of clicks on a tweeted link divided by the number of followers the account had when it tweeted that link.
Below is an infographic presenting some of my past findings as well as some entirely new data I’ve found about increasing CTRs on Twitter.
If you missed my webinar The Science of Social Media check…
One of the most popular webinars I’ve ever worked on, The Science of Timing was also one of my favorite. If you haven’t seen it, go check out the on-demand recording now.
In it, I present data I’ve collected over three years about the effect timing has on a variety of online marketing activities, including blogging. Below is an infographic that represents a collection of the three most important stats I have about when to publish blog posts.
In the webinar, I also make the point that my results are based on huge aggregates of thousands, millions, or even in some cases, billions of lines of data. They might not represent the exact best times for your industry. What…
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