A few months ago, I did some research into visualizing how a story spreads across the Twitterverse and how that spread could be visualized.
Using a combination of the Twitter API, the TweetMeme API and the Processing visualization library, I was able to graph the spread of a handful of popular links.
In the TweetMaps below the circles represent each user who ReTweeted the link, they're bigger or smaller based on the number of followers they have. People who are following accounts that Tweeted the link before they did have lines drawn to the accounts they're following (and could have "caught" the link from).
The graphs show the first wave of Tweets of each link (generally the first few hours). When you see a number of circles extending horizontally across the graph that means that those accounts all Tweeted the link very close together in time.
The first example is a post on the HubSpot blog . You'll notice there's a line of accounts that posted the link at very similar times. This is because there are a number of automated Twitter accounts that post every link on the HubSpot blog RSS. You'll see this pattern again in the examples below. You'll also notice that there is a high amount of variance in the size of the circles, indicating that the people who Tweeted the link have varying amounts of followers, and there is a high amount of interconnectivity between them as well.
The next example is from celebrity gossip blog TheFABlife. The difference is striking, other than a single, highly followed account (which is probably the blog's own official account) all of the other accounts have few followers. This is a good indication that this link's audience is much more "mainstream." Again notice the high level of interconnectedness visible.
Now let's look at a TweetMap of a link from Seth Godin's blog. You'll notice there isn't one big account that starts the chain (since there is no active, official Seth Godin Twitter account). There is a lower amount of interconnectivity present than in the previous examples, and most Tweeters have low numbers of followers.
The above example is from MSNBC's site. There are very few connections between ReTweeters, and there are a few very large accounts amidst mostly low-follower accounts. The large accounts are probably official MSNBC accounts.
An example from FoxNews tells the story of a community with a high variation in follower counts and lots of inter-connections.
An example from Alternet.org shows a set of accounts with lots of followers and a moderate amount of connection.
The final example, from TechCrunch , shows the main Techcrunch account followed by a large number of low-follower accounts. It also displays lots of connections and a large automated Tweeting line.
Marketing Takeaway
The internet now gives marketers a way to map word-of-mouth that was previously impossible. Take the time to understand how your content as well as your competitors content spreads online. Look for opportunities to optimize the word-of-mouth spread of your content on Twitter and other social networks.
Free Download: Marketing Data: 50+ Marketing Charts and Graphs
|
HubSpot has compiled over 50 original marketing charts and graphs on topics including Lead Generation, Blogging and Social Media, Marketing Budgets, Twitter and Facebook Download the ebook now! to have access to these charts for use in your own presentations |

Jim Murphy 1:44 PM on August 30, 2010
Nice pictures. I'm desperately trying to look for patterns. Would be interesting to study several more sites to see if any general patterns emerge. Then tool up a filter that looks for outliers to the general rules.
Of if I only had a couple dozen clones.
Dave Cunningham 3:34 PM on August 30, 2010
This is really interesting. Thanks for posting. Would be cool if you could post the visualization for how this post's URL spreads.
Elliott Ng 3:58 PM on August 30, 2010
Hi! Would love to be able to link to the original posts/articles mentioned to get a feel for the content. The links you have are just to the top level of each of the sites/
thanks,
Elliott
@elliottng
Brian Halligan 4:11 PM on August 30, 2010
Dan -- How about talking with Owen and Keller about building this type of thing into HubSpot and Blog.Grader.com ....pretty cool.
Bh.
Brett Relander 6:01 PM on August 30, 2010
Interesting stuff. Looking at analytics, reach, and audience in a visual way is always telling. Now let's make it user friendly and apply it to how we do business.
Brett Relander
http://TacticalMarketingLabs.com
Connor Bringas 1:25 PM on August 31, 2010
This is pretty much the most exciting data I've seen in a while. Its very interesting to see where tweets go and who "catches them" I wish I knew how you did that exactly..how did you come up with the data?
don don 7:12 PM on September 01, 2010
Awesome. You could probably provide a service for this.
Matt Geier 6:39 PM on September 02, 2010
This is awesome. Reminds me of wiki's internet IP map ... I'd love to learn to see my own map. lol
@thesalescorner
(Matt G.)
arjan 4:08 AM on September 22, 2010
twitterverse is not working anymore, anyone have something similair?