[GeoForAll-UrbanScience] Spatial analysis of social media

[Sven Schade]

Hi Carlie, all,

Some free and open tools and training material on this would be great to
have...

We did several experiments on this over the last years (see one poster with
that might give a few ideas and a more detailed paper attached). In order to
facilitate these works and move into a wider more structured toolset, a
colleague designed and partially developed a framework to connect existing
libraries (mainly via python). The result is a quite techy and software
engineering piece, that was unfortunately somewhat abandon after he left our
group. If you are interested, I would be happy to get this back to life and
see if it might be of value as a baseline and initial content. Just let me
know!!

Best,
Sven

-----Original Message-----
From: geoforall-urbanscience-bounces at lists.osgeo.org
[mailto:geoforall-urbanscience-bounces at lists.osgeo.org] On Behalf Of
Dimitris Kotzinos
Sent: Monday, September 28, 2015 8:00 PM
To: geoforall-urbanscience at lists.osgeo.org; Charles Schweik
Cc: Jeff McKenna; Salma El Idrissi
Subject: [GeoForAll-UrbanScience] Spatial analysis of social media

Hi Charlie,

very interesting idea and thanks for sharing.
I have actually started for some time now a work along these lines that I
will be happy to share. I am putting a very condensed description because I
am off for a trip (to US actually) so my time is very limited and I
apologize to that but if you or anybody else find this interesting please
let me know.
So we have created a platform that process tweets in real time and tries to
identifies important events based on that (like e.g. an earthquake or even a
football game). Part of the work was to explore the tweets we collect
through some spatial analytics lenses trying to understand for example
simple things like the tweets distribution in Greece according to space and
time e.g. within a week. This is quite simple but it is a start. I had to
leave it there because the project funding was limited.
OK, this is preliminary work but the platform works quite OK. I have not
released this yet but the plan is to be of course open source. It is
something that needs some more support to become really operational to a
more professional level but it is there.

So if of interest please let me know and we can keep the conversation
running, I hope I did not confuse everybody!


Best regards,

Dimitris



----------------------------------------------------------------------

Message: 1
Date: Mon, 28 Sep 2015 08:26:02 -0400
From: Charles Schweik <cschweik at pubpol.umass.edu>
To: geoforall-urbanscience at lists.osgeo.org
Cc: Jeff McKenna <jmckenna at gatewaygeomatics.com>,	Salma El Idrissi
	<selidrissi at umass.edu>
Subject: [GeoForAll-UrbanScience] Spatial analysis of social media
	(e.g.,	tweets)
Message-ID:
	<CAAqFMQmGH61RSGV-wN+aN-5WV4JvUjbJcxtJmuAbxE_W+-Km4Q at mail.gmail.com>
Content-Type: text/plain; charset="utf-8"

Hi GeoForAll Urban Science thematic,

1) I have a graduate student interested in this topic. Does anyone know of
any good geocrowdsourcing training literature around how one approaches the
spatial analysis of tweets or other social media posts?

2) It would be great if we could somehow get operational a communication
platform like the one PublicLab.org has where we could have students post
research notes [1] that other interested people in our group or outside of
the group could monitor. For example, people interested in the above topic
or other topics. Any ideas on how we might do that? I'm copying Jeff McKenna
because this could be something that would reside on the OSGeo web platform.
I think what I am suggesting is a little different than a wiki or a blog...
any ideas on how we might implement such an idea?

Cheers,

Charlie

[1] http://publiclab.org/research/

--
Charlie Schweik

Professor, University of Massachusetts, Amherst Dept of Environmental
Conservation and Center for Public Policy and Administration

Personal website: http://people.umass.edu/cschweik
Publications: http://works.bepress.com/charles_schweik/

Author, Internet Success: A Study of Open Source Software (MIT Press, 2012)
- see http://tinyurl.com/d3e4545

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