Comments on: 140 Twitter Conference Seattle Recap: #140tc Analysis

By: Twitter Spam: A Case Study | 20 Decibels Blog

Twitter Spam: A Case Study | 20 Decibels Blog — Mon, 15 Mar 2010 21:26:56 +0000

[...] in many shapes and sizes and we’ve all experienced it on Twitter. Watching the stream at 140 Twitter Conference was an interesting case study. A tweet from Mashable entered the stream followed by a massive [...]

By: Shona Milne

Shona Milne — Fri, 12 Mar 2010 17:40:43 +0000

I had no idea I was so tweeting that much. There was so much great information I guess I felt I had to share.

By: John OBrien III

John OBrien III — Wed, 10 Mar 2010 05:12:38 +0000

With regards to the velocity vs. ability for Twapper Keeper to grab tweets:

At Twapper Keeper we know there are cases that high velocity tagged tweets can be missed. The issue stems from the fact that as we try to keep up with all of the different tags we run into situations where we can't adjust fast enough to topics that begin to accelerate in usage.

We are finalizing Version 2 of the system (in testing right now) which will tap into the Streaming API which should eliminate these issues in the long run.

If you have any questions, just let us know.

@jobrieniii

By: Kathy

Kathy — Wed, 10 Mar 2010 01:32:04 +0000

OK, I know I'm looking at a subset of these tweets from TwapperKeeper — just 8 March — but that shows me with @kegill having 61 tweets and @kathy_live having only 37. I tweeted as @kathy_live only during the conference. That's a huge difference in data and suggests that TwapperKeeper is managing to grab only a slice of the flow during heavy traffic.

I just checked the @kathy_live account and I think I counted 74 tweets with the #140tc hashtag (you have 69). I counted 75 from @kegill for Monday — 22 were @replies and 10 RTs.

By: Kathy

Kathy — Wed, 10 Mar 2010 01:06:21 +0000

LOL! I'm not sure that deserves a shout-out.

The data are interesting because I /think/ that most of the @kegill tweets would be @replies whereas the @kathy_live tweets would be “session notes.” I did cross-tweet some, but not that much. I don't think. Now I need to go look at my own stats for that 12 hour period (any post-even tweet was from @kegill).

I posted a few Wordles today – this is the best one, I think: http://www.wordle.net/show/wrdl/1760899/140TC_-...

By: Mike White

Mike White — Wed, 10 Mar 2010 00:38:41 +0000

I tracked this hashtag too - my data differs a bit... http://bit.ly/aoRZet

By: Adam Schoenfeld

Adam Schoenfeld — Tue, 09 Mar 2010 23:56:25 +0000

Thanks Joe. Great point. I think the guys at Parnassus are going to do a follow-up to dive into what was being said. I'll post a link here if and when they do that.

By: Joe McCarthy

Joe McCarthy — Tue, 09 Mar 2010 23:49:03 +0000

Seems like there was a whole lot of twittering going on. Reading this analysis, one might infer that #140tc was more about the quantity of tweets – and/or Twitter followers – than the quality of the tweets … or what was being said IRL. Are there or will there by any summaries of what was said, or learned, on a more qualitative level?

It seems much use of Twitter is about reaction. It would be especially nice to read some reflections … especially those longer than 140 characters.

By: Adam Schoenfeld

Adam Schoenfeld — Tue, 09 Mar 2010 23:21:01 +0000

Thanks Ayush! It's always fun to do.

By: Ayush Agarwal

Ayush Agarwal — Tue, 09 Mar 2010 23:16:23 +0000

Adam, I love this analysis that you push out after every #140tc. Always interesting to look back and see what happened.