We're a transparent startup founded by Aviel Ginzburg and Damon Cortesi building solutions in the social media and public relations spaces.

Follow along as we share the ups and downs of building a startup.

Follow Untitled Startup on Twitter
Tweeps Who Like Us
davidhoangdudeman718kevinmarkslouisgrayjoannalordmsaleemshaunacauseysh3n3rdpistachiorsarvereddavemcclure

Chirp Twitter Client Analysis

Apr
19
By Damon Cortesi

I recently attended Twitter’s first developer Conference, Chirp. Before going, I did a little social graph analysis and was going to revisit the social closeness at the end of the conference. A quick analysis the day after the conference ended showed that on average, people only gained two new followers from other Chirp attendees. This was much lower than expected. There are a lot of potential reasons for this (people already had relationships and the chance that people may not follow back until today when they’re back in the office are a couple), but I’ll take a look in a couple days and see if it’s changed. Another interesting data set is the clients used during the conference.

On day 1 of the conference, @Orian (who is working on a sweet new Twitter client) asked me what clients were being used. Since I was archiving Chirp tweets with RowFeeder, this was pretty easy to pull out and, surprisingly, the web was the most popular source for tweets referencing @chirp or #chirp. After Orian pointed out that somebody had gathered similar stats during the hack-day, I wanted to post my results from those tweets over the 33 hours of the Chirp conference.

Similar to the hack day stats, the web, TweetDeck and Tweetie were the top clients.

# of tweets for each Twitter client during Chirp

Broken down by number of users for each client app, the distribution looks similar.

# of Users for each Twitter client during Chirp

Finally, I was curious to what degree (if any) Twitter client usage changed during the conference given the flaky wifi. There weren’t too many surprises there, though.

# of tweets per hour (log scale) at Chirp

For the data hounds out there, here are the data sources for some of the above:
Spreadsheet of Tweets containing “chirp”
Spreadsheet of tweets/app, users/app, etc

Those Google spreadsheets are public and you should be able to add additional worksheets, so feel free.

Are there any other stats you might like to see from either client usage or the previous social graph analysis I did?

  • Very interesting stuff. I especially like the time-based analysis. Wish I'd thought of running that analysis!

    What did you use to build your graphs? They're nice and crisp. Are those regular old Excel graphs and I just don't recognize them?

    Thanks for the link back to my original work, too. :)
  • Just Apple's spreadsheet app, Numbers. Leave it up to them to make stuff look great.

    By the way, if you want some of the raw #chirp/@chirp data to analyze yourself, just let me know. Happy to share - there's the spreadsheet I linked above, but that doesn't have app data.
blog comments powered by Disqus