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Visualizing How a Link Spreads Through the Twitterverse

 

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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.

17 great

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.

80 signs

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.

but youre

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.

chrysler recalls

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.

helen thomas

An example from FoxNews tells the story of a community with a high variation in follower counts and lots of inter-connections.

meet the

An example from Alternet.org shows a set of accounts with lots of followers and a moderate amount of connection.

startup life

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

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Posted by Dan Zarrella on Mon, Aug 30, 2010 @ 12:30 PM

COMMENTS

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.

posted on Monday, August 30, 2010 at 12:44 PM by Jim Murphy


This is really interesting. Thanks for posting. Would be cool if you could post the visualization for how this post's URL spreads.

posted on Monday, August 30, 2010 at 2:34 PM by Dave Cunningham


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

posted on Monday, August 30, 2010 at 2:58 PM by Elliott Ng


Dan -- How about talking with Owen and Keller about building this type of thing into HubSpot and Blog.Grader.com ....pretty cool. 
 
Bh.

posted on Monday, August 30, 2010 at 3:11 PM by Brian Halligan


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 

posted on Monday, August 30, 2010 at 5:01 PM by Brett Relander


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?

posted on Tuesday, August 31, 2010 at 12:25 PM by Connor Bringas


Awesome. You could probably provide a service for this.

posted on Wednesday, September 01, 2010 at 6:12 PM by don don


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.) 

posted on Thursday, September 02, 2010 at 5:39 PM by Matt Geier


twitterverse is not working anymore, anyone have something similair?

posted on Wednesday, September 22, 2010 at 3:08 AM by arjan


Comments have been closed for this article.