[OpenSpending] Fwd: [Scoda-dev] Network analysis of landgrabbing data

Wed Dec 5 19:51:15 UTC 2012

On Wed, Dec 5, 2012 at 8:03 PM, Keserű Júlia <keseru.julia at k-monitor.hu>wrote:

> Besides gephi, you may also want to try cytoscape<http://www.cytoscape.org/>or
> thejit <http://philogb.github.com/jit/>.
>

Oh, if we're collecting JS libs: http://sigmajs.org/ - its the Gephi guys
going web-based big data 2.0 ;)

- Fr.

>
> Best,
> Julia Keserű
>
> 2012/12/5 Tobias Eigen <tobias at saidia.org>
>
>> Hi Tom,
>>
>> iScale has experience with network mapping - you can contact them.
>> http://scalingimpact.net/innovations/strategy-planning-scaled-impact
>>
>> Cheers,
>>
>> Tobias
>>
>> //\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\
>>
>> Tobias Eigen
>> 9670 Olympus Beach Rd NE
>> Bainbridge Island, WA 98110
>> landline: +1-206-842-1467
>> mobile: +1-206-375-7984
>> skype: tobiaseigen
>>
>> Appointments <http://meetme.so/tobiaseigen>
>>
>> Kabissa <http://kabissa.org/user/4313> Blog <http://saidia.org/> LinkedIn<http://www.linkedin.com/in/tobiaseigen>
>>  Facebook <http://facebook.com/tobiaseigen> Twitter<http://twitter.com/tobiaseigen>
>>  Google+ <http://profiles.google.com/tobiaseigen>
>>
>> //\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\//\
>>
>>
>>
>> On Wed, Dec 5, 2012 at 7:01 AM, Lucy Chambers <lucy.chambers at okfn.org>wrote:
>>
>>> Might anyone here be able to help with this? It's about Network
>>> Analysis - which I know is used regularly by people tracking
>>> companies, media neutrality etc.
>>>
>>>
>>> ---------- Forwarded message ----------
>>> From: Tom Longley <tom at tacticaltech.org>
>>> Date: Wed, Dec 5, 2012 at 6:48 AM
>>> Subject: [Scoda-dev] Network analysis of landgrabbing data
>>> To: scoda-dev at lists.okfn.org
>>>
>>>
>>> -----BEGIN PGP SIGNED MESSAGE-----
>>> Hash: SHA1
>>>
>>> Hi there --
>>>
>>> The plot so far: I've put together two gentle introductory courses as
>>> part of Tactical Tech's work with the School of Data. The first, on
>>> data cleaning; the second on descriptive analysis. Both use
>>> spreadsheets. They're in the final run now. The data used in the
>>> course is about large scale land acquisition in the developing world
>>> by hedge funds for the biofuel industry
>>> (http://datahub.io/dataset/grain-landgrab-data).
>>>
>>> For the third course, I'm looking at at network analysis using a foss
>>> tool called Gephi. With limited tinkering you make make neat things,
>>> for example this showing the "land grabbing" transaction network
>>>
>>>
>>> https://cloud.tacticaltech.org/public.php?service=files&file=%2Ftom%2Ffiles%2FSchool%20of%20Data%2Fexchanges.png
>>>
>>> (the Gephi file for this is here:
>>>
>>> https://cloud.tacticaltech.org/public.php?service=files&file=%2Ftom%2Ffiles%2FSchool%20of%20Data%2Fgrain_landgrab_20121205.gephi.zip
>>> )
>>>
>>> *just remove the .zip extension - I added to this as our cloud
>>> objected to .gephi as an extension*
>>>
>>> Gephi certainly makes graphing more accessible, and I feel "graph
>>> thinking" is such a useful basic skill in examining issues like this
>>> one, and others involving companies and finance.
>>>
>>> However, so far I have found the tool very challenging to use. This is
>>> in part because of its byzantine UI, which can be overcome with a bit
>>> of patience. However, the big issue is that its functions and the way
>>> it behaves are unfathomable: it's hard to know what to expect if for
>>> example you apply a Yifan-Hu Proportional algorithm  to a dataset. You
>>> could apply it a 100 times and still not be any wiser about what it is
>>> doing and why you'd choose it over a Force Atlas.
>>>
>>> So I'm looking for some help: do you know anyone who can work with me
>>> to be a tourist guide about network analysis, explaining the concepts
>>> to me in plain language, and helping me de-mystify this for learners
>>> at the School. I may be able to cover the cost of a day of someone's
>>> time to help me out (confirmation pending on this).
>>>
>>> Best regards,
>>>
>>> Tom
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>>>
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>>>
>>> --
>>> Lucy Chambers
>>> Project Coordinator,
>>> School of Data & OpenSpending
>>> Open Knowledge Foundation
>>> Skype: lucyfediachambers
>>> Twitter: @lucyfedia
>>>
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>>
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>
>
> --
> Keserű Júlia
> K-Monitor
> +36-1-789-5005, +36-20-457-2346
> keseru.julia at k-monitor.hu
>
>
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-- 
Friedrich Lindenberg | OpenSpending & OKFN Labs | @pudo
http://openspending.org | http://okfnlabs.org | http://pudo.org
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