Twitter Internal Fragmentation: Python + Twitter

Gabriel Gonzalez — Mon, 25 Jan 2010 09:32:55 +0000

As a toy project to play a little bit more with Python and accessing Twitter, I came out with the idea of calculating the Internal Fragmentation of user’s tweet.

To interface with Twitter services I used the Twitter extension located at http://code.google.com/p/python-twitter/, which has a pretty straightforward API.

The script shown below gives you back what average percentage of your last 20 tweets have been wasted.

import twitter
import sys
if len(sys.argv) != 2:
print "Provide a Twitter Username as Argument"
exit(-1)
api = twitter.Api()
st = api.GetUserTimeline(sys.argv[1])
sum = 0.0
for s in st:
sum += (140.0 – len(s.text.encode("utf-8")))/140.0
print "%s internal fragmentation is %.2f%s" % (sys.argv[1], round(sum / len(st) * 100, 2), "%")

And now some results:
$ python twinternal.py GabrielGonzalez GabrielGonzalez internal fragmentation is 39.89% $ python twinternal.py 48bits 48bits internal fragmentation is 36.79% $ python twinternal.py reversemode reversemode internal fragmentation is 38.72% $ python twinternal.py aramosf aramosf internal fragmentation is 32.41%

Vulnerability Engineering

Gabriel Gonzalez — Thu, 12 Nov 2009 08:59:13 +0000

I have just published an article about Vulnerabily Engineering in Wintercore’s blog (spanish version in 48bits.com). It focuses in applying Software Engineering metrics to the world of Vulnerability Research which can give us an idea about how Reliable a Software Product is.

In this article I analyze five applications Microsoft’s Explorer, Sun’s Java JRE, Apple’s QuickTime, HP NodeManager and Adobe Reader. The conclusion I formulated after writing the article was that the reliability of Software Product is too low to be even bad.

QuickTime’s users are 99% of the time exposed to at least one unfixed vulnerability, which I think should ban this products for almost all computers.

I hope you enjoy the article.

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Twitter Internal Fragmentation: Python + Twitter

Vulnerability Engineering