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The one for Dropbox is wrong, if only that it misses the larger history and trends. We doubled followers in a weekend by testing but not launching http://dropb

The one for Dropbox is wrong, if only that it misses the larger history and trends. We doubled followers in a weekend by testing but not launching http://dropbox.com/free http://dropbox.com/free Then we did Dropquest, and got another bump. If we add twitter following to the getting-started quest http://dropbox.com/gs http://dropbox.com/gs we could blow those changes out of the water. A graph with context: https://www.dropbox.com/s/mwmyb8zmt4kufis/at_dropbox.png https://www.dropbox.com/s/mwmyb8zmt4kufis/at_dropbox.png

shazow 16y ago
Emphasis on "past 30 days". Your graph with context shows most activity before January, whereas mine only begins in February. I wish I had the foresight to start monitoring earlier.
- ivankirigin 16y ago
  You might be able to find other data sources, scraping http://twittercounter.com/ http://twittercounter.com/ for example Also, API endpoints for friendship might have a follower_since date, and you can approximate the history. In so far as unfollowing is rare compared to following, it would be accurate. http://dev.twitter.com/doc/get/friendships/show http://dev.twitter.com/doc/get/friendships/show maybe?
  - shazow 16y ago
    Unfollowing is not as rare as you think. Out of all follows/unfollows SocialGrapple has tracked so far (for detailed accounts), 35% are unfollows of the subject account (63% unfollows from the subject account). I did check the API, Twitter doesn't give you historical relationship data like that. This is something that SocialGrapple was built to solve. Scraping is something I haven't considered, though being a tertiary source of data is something I'd like to avoid (I already have nightmares of Twitter shutting me down for no reason). I'm not even sure how accurate TwitterCounter's data is, at least I can account for my own and Twitter's mistakes. I'll give it some more thought nonetheless.
immad 16y ago
That graph says Download at Dropbox. Secret info? :P
- ivankirigin 16y ago
  I should have called it all_our_stats_when_you_work_here.png http://www.dropbox.com/jobs#ABC http://www.dropbox.com/jobs#ABC

shazow 16y ago

Emphasis on "past 30 days". Your graph with context shows most activity before January, whereas mine only begins in February. I wish I had the foresight to start monitoring earlier.

ivankirigin 16y ago
You might be able to find other data sources, scraping http://twittercounter.com/ http://twittercounter.com/ for example Also, API endpoints for friendship might have a follower_since date, and you can approximate the history. In so far as unfollowing is rare compared to following, it would be accurate. http://dev.twitter.com/doc/get/friendships/show http://dev.twitter.com/doc/get/friendships/show maybe?
- shazow 16y ago
  Unfollowing is not as rare as you think. Out of all follows/unfollows SocialGrapple has tracked so far (for detailed accounts), 35% are unfollows of the subject account (63% unfollows from the subject account). I did check the API, Twitter doesn't give you historical relationship data like that. This is something that SocialGrapple was built to solve. Scraping is something I haven't considered, though being a tertiary source of data is something I'd like to avoid (I already have nightmares of Twitter shutting me down for no reason). I'm not even sure how accurate TwitterCounter's data is, at least I can account for my own and Twitter's mistakes. I'll give it some more thought nonetheless.

immad 16y ago

That graph says Download at Dropbox. Secret info? :P

ivankirigin 16y ago
I should have called it all_our_stats_when_you_work_here.png http://www.dropbox.com/jobs#ABC http://www.dropbox.com/jobs#ABC