# Twitter Graphs

Posted October 9, 2009

on:- In: Twitter | Visualization
**33**Comments

**UPDATE 9/10: Insight into how this works and the rationale behind this in this post.**

So after my last post I received a couple of graph requests.

Here’s @map_maker‘s, see how I’ve added the directionality. This one took *a long time* to build. She talks to a lot of people who talk to a lot of people…

And @emdaniels.

This is my boyfriends, @theAlMan. He doesn’t talk to that many people, so I dared to go to a depth of 2.

My very popular neighbor, @snookca (depth 1 again). He caused a stack overflow…

@Circuitbomb (depth 1).

@uOttawaWISE – we’ve not been on Twitter long, but our network is growing! Also – because this one is fairly small you can see the connections really nicely.

@cheth (another one to cause a stack overflow!):

@sparkyourart (another stack overflow!):

Sorry for the delay – I’ve been tweaking my algorithm to produce more balanced graphs. It now takes your last 200 tweets and last 100 mentions (due to search limitations this means there will not be any older than a week) and finds the oldest ID in each set. Then it takes the maximum of these and ignores any tweets older than this ID. I’ve also added node distance coloring, so that the central node is darkest and nodes further from the central node are lighter.

Here’s how my graph looks now (let me know what you think!):

So, @velvetescape and @velvetconnect come next. After hitting the API limit a couple of times (even after I’d tweaked the algorithm – @velvetescape talks to and about *a lot* of people) I had to do these a little differently. For @velvetescape I changed the depth to 0 so it’s just him and the people he talks to and who talk about him. For someone with this much conversation going on, though, I think it shows it pretty nicely.

For @velvetconnect I just changed the number of recent tweets I request from the API. Normally I get 200 most recent tweets and the last 100 (or week) of mentions but this just wasn’t feasible so I cut these both in half.

@jdemond‘s is below. This one is nice – you can really see he’s part of two distinct networks, and that the network to the right has some sub-networks going on.

@KristinaThorpe – this one was interesting! I didn’t hit the API limit but I did run into problems with the visualization engine that prevented it from rendering – not sure why, but I think it may be due to the graph being very densely connected. I reduced the API data by 25% (last 150 tweets, last 75 mentions) and that fixed it!

**Graphs continued on this page.**

If you want your graph done, let me know via Twitter or in the comments and I’ll put it up here for you. Feel free to use the image anywhere you’d like (ask me for a higher quality one if you need to), but please link back to this! Thanks 🙂

### 33 Responses to "Twitter Graphs"

[…] Twitter Graphs « Kitten’s Thoughts kittenthebad.wordpress.com/2009/10/09/twitter-graphs – view page – cached Here’s @map_maker’s, see how I’ve added the directionality. This one took a long time to build. She talks to a lot of people who talk to a lot of — From the page […]

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Ha, that’s amazing! Does it eat up all your API usage?

I would love one done for my twitter account… but i guess its going to hog up a LOT of api…

So cool! I’d love one if you get a chance! Thanks, Ellen @sparkyourart

This is really cool. Would love to see how my two Twitter accounts: @velvetescape & @velvetconnect compare. I’ve sent u a tweet. Thank you Cate.

Best regards,

Keith

Ooh, me please! Should be easy-ish, I post a lot but don’t have a lot of traffic coming back… Thanks!

[…] Twitter Graphs « Kitten’s Thoughts […]

Can you do a graph for @CozyCabbage?

These are amazing! When you have time could you do a graph for @LALALAMBRIT? Thanks so much

Thank You so much these are beautiful!!!

These are so beautiful! As well as being very useful in helping you see your connections and networks. Could I have one please? @RebekahHarriman

Thanks so much! I will retweet x

Thanks!

I think you’d get better results if the lines were semi-transparent, so that you’d be able to see where they are when things are overlapping.

Geez. The graphs are proof that Twitter is awesome. And crowded like myspace was. But I am addicted.

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1 | Emily Daniels

October 9, 2009 at 1:32 am

Very cool! Thx Cate!