Yep, although who's to say that an onslaught of Nyquil twittertizing does
not signify the beginning of a flu outbreak?

--Doug

On Mon, Mar 4, 2013 at 7:40 PM, Steve Smith <sasm...@swcp.com> wrote:

>
>
> It also seems as if subtracting news items might be important (for your
> purposes) since I assume you are looking for early detection of people
> having these symptoms rather than the echoes of trends in popular media (or
> an advertising push by NyQuil) ?
>
>
>  Doug -
>
> So the point is to attempt "early detection" of an outbreak of something
> based on what people are tweeting?
>
> ( "influenza", "flu", "cold", "fever", "H1N1", "H3N2", "sneezing",
> "aching", "ache", "achy", "congested" )
>
> It certainly sounds like there might be some utility to it, but I'm
> wondering what kinds of reasoning went into this?  Is it based on any
> models of who tweets or what they are likely to tweet about?
>
> Was it more of a demonstration or team-building exercise, or does someone
> expect to actually put it to use?
>
> So, the data was pre-archived, but I presume a more useful version would
> work from more real-time data and probably would have a sliding time
> (exponential moving average?) window?
>
> Do you know about Norm Packard's (of Eudaimonic, Prediction, 
> ProtoLife<http://en.wikipedia.org/wiki/Norman_Packard>fame) latest venture 
> called
> LuckySort <http://luckysort.com/>?  It's R interface is called 
> TopicWatchr<http://luckysort.com/products/r-package>and seems to be doing 
> something roughly similar (but without specific
> geolocation?).  Their examples suggest that they are aiming this at the
> Investment sector.
>
> Our own Mick Thompson (well, SFX if not FRIAM) was working on related
> things before the startup Collecta went dark...  I'm not sure if he's still
> in this game (or on this list?).   I used Collecta when it was alive... it
> aggregated Twitter as well as some subset of blog and maybe newsfeeds?
> For example, stuck in northbound traffic on I-25 near La Cienega one time,
> I was able to discover within seconds of stopping my vehicle that 3 people
> also stuck in traffic had mentioned that they too were stuck and one of
> them was close enough to the front of the line to see that it was a fuel
> truck that had been involved in an accident so they weren't inclined to let
> anyone past it until the HazMat or Fire folks had determined there was no
> risk.   On the other hand a CB Radio and/or a Police Scanner (oldschool)
> would have told me all that and more in time to take the La Cienega exit
> and frontage on into town with only a minor delay.
>
>
>
>  One of my projects is funded by NIH, and it sponsored (read: paid for) a
> group of 15 of us software developer types from 10 different organizations
> across the country who are working on the project to get together last week
> in Las Vegas, NV to conduct a two-day hackathon. We split into three
> groups, and my group produced some rough, ugly, but working Python and R
> code.
>
>  The Python code conducts keyword searches on archived 1% Twitter API
> data, filtered to only search  only those tweets that have valid
> geolocation data. The short piece of R code calls a Google map API and
> plots the data on a Google map in a browser, allowing the user to click on
> the geolocated map points to view the originator's tweet text.
>
>  Our next step will be to replace the R code with Python for calling the
> Google map API.
>
>  Here, it's ugly, but it's free.  Don't say I never gave you anything.
>
>  --Doug
>
>  --
> *Doug Roberts
> d...@parrot-farm.net*
> *http://parrot-farm.net/Second-Cousins*<http://parrot-farm.net/Second-Cousins>
> *
> 505-455-7333 - Office
> 505-672-8213 - Mobile*
>
>
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-- 
*Doug Roberts
d...@parrot-farm.net*
*http://parrot-farm.net/Second-Cousins*<http://parrot-farm.net/Second-Cousins>
* <http://parrot-farm.net/Second-Cousins>
505-455-7333 - Office
505-672-8213 - Mobile*
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