February 07, 2012, 08:51:45 pm
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Author Topic: Data Mining Twitter with the help of Local Transforms -case study, examples, etc  (Read 61923 times)
TheSuggmeister
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Posts: 1


« on: December 19, 2009, 06:28:06 pm »

I recently spent some time playing around with Maltego and the Twitter Transforms.  I found some limitations, not with Maltego, but with the Twitter API's.  

Rather than re-post my adventures, here's a link to my blog post (complete with a local transform in PERL, for you to play with, and some sample maps).

http://www.securityg33k.com/?p=180

You can find me on twitter as @TheSuggmeister if you have any questions, but hopefully there's enough on my post to get you started mining twitter.

Have fun

Chris/TheSuggmeister
« Last Edit: December 19, 2009, 07:51:26 pm by TheSuggmeister » Logged
bazan
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« Reply #1 on: May 17, 2010, 05:35:04 am »

Hi I read the article and it seems pretty amazing, i found really helpfull maltego in my line fo work, but it is missing a lot of local transformations.
and Congrats for the little man.
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AndrewMacPherson
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Posts: 132


« Reply #2 on: May 19, 2010, 07:08:23 am »

Hi Bazan,

When you say "it is missing a lot of local transformations" do you mean that these aren't bundled with Maltego? Or that you think there should be a bigger community of local transform repo's?

If (a) well then i think you should rediscover ( http://ctas.paterva.com/view/Userguide#Discovery_Process ) from your client to get the latest transforms which do include many new Twitter ones ( as well as a bunch of others we have included )

If (b) we definitely agree, do you have any idea's how we can stimulate this growth?

With Maltego 3 we are looking into different local transform bundling via packages/servers, but this will probably only be released with 3.1, however i would keep an eye on the Maltego3 blog ( http://maltego.blogspot.com ) for more information.

I look forward to your reply

-AM
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