A "rash" of infectious disease tweets?  Not going there.

The goal of our hackathon, in the spirit of true hackathoning:
http://en.wikipedia.org/wiki/Hackathon  was to "intensively collaborate"
and pound out some working code of interest  regarding our client's
programmatic areas.  It was a good exercise, in that we had 15 people,
pizza, beer and after two days produced some working code. It was certainly
more fun than going into the office...

--Doug


On Mon, Mar 4, 2013 at 8:17 PM, Steve Smith <sasm...@swcp.com> wrote:

>  Doug -
>
>
> Yep, although who's to say that an onslaught of Nyquil twittertizing does
> not signify the beginning of a flu outbreak?
>
> Righto!   That is the point... how to distinguish a rash of NyQuil fanbois
> extolling it's virtues in 140 chars or less as they subdue early symptoms
> of a resurging 1918 Influenza outbreak from a catchy jingle
> P&G/Vicks/NyQuil's latest admen thought up?
>
> Again, I'm not sure of the context of your hackathon (by it's name, it
> seems more like teambuilding/demonstration than seriously attacking a
> known/well-vetted problem?) but maybe there was talk of precedent... of
> more serious studies in how to find useful correlations?
>
> I'd expect careful study would reveal a phased rollout of terms...   that
> people mutter (twitter?) about different things at the onset of their own
> symptoms or of those around them than they do as it becomes a full-fledged
> experience ( e.g.  Achy, Sniffly, Congested vs "Sick Day").   And of course
> there might be an abrupt *rise* or *fall* in tweet frequencies from the
> same people as they take a day off from work and/or switch from DayQuil to
> NyQuil and try to sleep it off.
>
> Also, the seriousness of symptoms might be reflected in Google Trends, of
> people doing "research" as opposed to just mumble-tweeting about it.
>
> - Steve
>
>
>  --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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>>
>>
>>
>>
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>
>
>
>  --
>  *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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> Meets Fridays 9a-11:30 at cafe at St. John's College
> to unsubscribe http://redfish.com/mailman/listinfo/friam_redfish.com
>
>
>
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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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