----- "Philip (flip) Kromer" <f...@infochimps.org> wrote:

> Hi all,
> I'm pleased to announce that Infochimps is making datasets from our
> massive scrape of the Twitter corpus available for Chirp Hack day
> devs.
> There's a big opportunity for apps that draw on the historical record
> and *structure* of twitter -- apps that require a global perspective
> and intense computation. The following are available to mash up
> against other datasets from infochimps.org or even just to
> bootstrap-seed the database for your Hack Day application. We also
> have a 30-machine cluster up to do further extractions, so if you have
> something really interesting you'd like to pull please let me know.
> Reputation Metrics from Reply and Follow graph s Uses algorithm
> similar to pagerank to derive reputation, one using the a_follows_b
> graph and one using the a_replies_b graphs
> Reply/retweet/mention graph Every observed Reply, retweet, or mention
> seen in a 1.6B-tweet sample (about 15% of historical record):
> a_[rel]_b, user_a_id, user_b_id, tweet_id
> Twitter Users by Background Color The number of users with each
> background color: color code, user count
> Twitter Users by Friends Count The number of users with a given number
> of friends: number of friends, user count
> Twitter Users by Followers Count The number of users with a given
> number of followers: number of followers, user count
> Twitter Users by Created At The number of users whose accounts were
> created in a given month/day/hour along with the earliest seen ID in
> that hour: timestamp to month/day/hour, user count
> Smileys Smiley faces with user, date, tweet_id
> Hashtags Hashtags with user, date, tweet_id
> TweetUrl URLs with user, date, tweet_id
> Twitter Users by Location The number of users in a location string (as
> provided by the user in their profile). location, user count
> Stock Tweets Tweets that include the stock symbol tag convention of
> $STOCKNAME or $$. The tweet is listed for each time a tag is used in
> the tweet. stock_tweet (resource name), symbol captured, tweet object
> (all things in a tweet)
> Stock Prices Daily stock prices for the NASDAQ, NYSE, AMEX exchanges
> 1970-now symbol, open, low, close, high, volume
> Parameters for what's available:
> raw object size number of objs
> a_follows_b 45.8 GB 1,587,838,568
> a_mentions_b 29.5 GB 493,682,309
> a_retweets_b 1.6 GB 36,022,061
> twitter_user 3.1 GB 43,261,388
> tweets 376.0 GB 1,641,624,381
> hashtag 7.1 GB 139,916,844
> smiley 4.4 GB 99,272,082
> tweet_url 29.5 GB 433,278,116
> If you'd like access to any of these, or have an idea that needs
> something /not/ here, please let me know ( f...@infochimps.org ).
> We're only opening access to Hack Day devs for now -- but please let
> us know your ideas so we can show twitter how much demand there is for
> aggregated access to data.
> best,
> flip
> @mrflip
> 512-659-6846
> ----
> http://infochimps.org
> Find any dataset in the world

This is too short notice for me to be able to come up with a use for these 
data. But for the future, do you by any chance have access to *intraday futures 
and options* time series? Daily stock data are more or less useless.

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