TwitterFriends: Overlapping networks

One of the new features of TwitterFriends is a visualization of your incoming and outgoing networks. Remember: Your incoming network includes all Twitter users that replied or referred to you on Twitter the last 30 days at least twice. And the outgoing network – your relevant net – includes all Twitter users you referred or replied at least twice. You can see this new diagram on your stats page: http://twitter-friends.com/?user=kevinrose. Just replace kevinrose with your Twitter username. No password required.

Kevin Rose’s diagram (I chose him because he’s the Twitter user having the largest incoming network) looks like this:

You can see three things on this diagram:

  • Popularity: The network of people addressing him is much larger than the network of people he’s addressing. It’s almost eight times larger (see number in the left box of the statistics page). This measure goes in the same direction as the Friend-to-Follower-Ratio. If a lot of people are sending you replies and you are only able to reply to a small fraction of them, you’re popular. So, the different sizes of the two networks are a measure for popularity.
  • Overlap: The overlap is not too large. In fact it’s only 28.6% (see number in the left box of the statistics page). There are many people trying to talk to Kevin Rose on Twitter that are not receiving replies. But on the other hands there are Twitter users, Kevin Rose talks to that do not answer his replies regularly or their accounts are protected – TwitterFriends does not analyze protected data, even if you log in with your Twitter credentials at the top of the page.
  • Friends: If you want to know more about the people in the overlapping area, take a look at the full user cloud either incoming or outgoing.

    @kevinrose's Outgoing network

    Those names with a bidirectional arrow are contacts that are talking to Kevin Rose on a more or less regular basis and receiving Twitter messages by Kevin Rose as well. Of course, these users are not always what we’d are calling “friends” in real life, but they are regular conversation partners.

Now you can take a look at your own TwitterFriends statistics and compare your Venn diagram with the above. Are your networks more overlapping? Do you have a larger incoming than outgoing conversational network as well? If you experience a bug or have a great idea about how to improve TwitterFriends, send me a Twitter message to @furukama or just submit your input to the TwitterFriends support forum.

Share this post:
  • Digg
  • del.icio.us
  • Facebook
  • Google
  • Furl
  • Ma.gnolia
  • MisterWong
  • NewsVine
  • TwitThis
  • Yigg
  • Pownce
  • Reddit
  • Slashdot
  • StumbleUpon
  • Wikio
  • LinkedIn
  • Spurl