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 🙂
Comments
58 responses to “Twitter Graphs”
Very cool! Thx Cate!
Very cool! Thx Cate!
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Ha, that’s amazing! Does it eat up all your API usage?
Ha, that’s amazing! Does it eat up all your API usage?
Depends who I’m graphing, have to space them out a bit too! 🙂
I would love one done for my twitter account… but i guess its going to hog up a LOT of api…
I would love one done for my twitter account… but i guess its going to hog up a LOT of api…
Sure, I’ll add you to the list.
So cool! I’d love one if you get a chance! Thanks, Ellen @sparkyourart
So cool! I’d love one if you get a chance! Thanks, Ellen @sparkyourart
On the list. Should happen later today so check back 🙂
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
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
You’re on the list 🙂
Ooh, me please! î Should be easy-ish, I post a lot but don’t have a lot of traffic coming back… Thanks! 
Ooh, me please! î Should be easy-ish, I post a lot but don’t have a lot of traffic coming back… Thanks! 
You’re on the list 🙂 Check back – will do it as soon as I can but may be tomorrow due to API limits.
[…] Twitter Graphs « Kitten’s Thoughts […]
Can you do a graph for @CozyCabbage?
Can you do a graph for @CozyCabbage?
These are amazing! When you have time could you do a graph for @LALALAMBRIT? Thanks so much
These are amazing! When you have time could you do a graph for @LALALAMBRIT? Thanks so much
Sure – I’ll add you both to the list. ETA in the next day or so OK?
Sure – I’ll add you both to the list. ETA in the next day or so OK?
Wow. That is very interesting. Can I have one done too?
Wow. That is very interesting. Can I have one done too?
Sure! Will be a short wait but I’m getting through them as fast as I can (API limit is the major bottleneck).
This is AWESOME! Thank you so much Cate! I plan to use it on my Velvet Connect site and will absolutely link back. Thank you once again. This is brilliant stuff!
Cheers,
Keith
@Keith No worries – glad you like it! Need to try and get whitelisted, if I do I can have another go at graphing your full network, lol! 🙂
Thank you! î— Love your work…
Thank You so much these are beautiful!!!
Thank You so much these are beautiful!!!
It’s a pleasure! Check back soon, new viz coming 🙂
These are so beautiful! As well as being very useful in helping you see your connections and networks. Could I have one please? @RebekahHarriman
These are so beautiful! As well as being very useful in helping you see your connections and networks. Could I have one please? @RebekahHarriman
Sure, should happen today 🙂
Thanks so much! I will retweet x
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.
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.
Geez. The graphs are proof that Twitter is awesome. And crowded like myspace was. But I am addicted.
[…] Bad‘) is a Masters student in Computer Science at the University of Ottawa. Cate devoted an article on her blog to mapping peoples Twitter conversations. The results are striking. By adding levels of […]