Monthly Archives: November 2013

Python basics for Grumpy Old Men (and other dummies)

Since I’ve recently spent a few weekends and evenings in an effort to learn Python, and gradually having started to fall in love with the language, I thought I should publish some aspects of the language that makes me appreciate it. … Continue reading

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More fun with Python: Navigational tricks – AIS NMEA encoding/decoding

In my – for my age and current professional activities – somewhat perhaps ‘weird’ quest to learn a (for me) new programming language – after all it’s almost 20 years since I did any serious professional programming, and particularly when … Continue reading

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Twitter buzz about IBM Rational

Having created a Python program for “poor man’s mass surveillance”, that given a Twitter account, or set of accounts, grabs the latest tweets from that account and analyzes each tweet for mentions, I thought it might be interesting to see … Continue reading

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Poor man’s mass surveillance:collection & analysis of Twitter data with Gephi & Python

[Each of the “dots” in the graphs above –  there are about 100.000 of them –  even the tiniest small ones barely visible at this level of zoom, represents a twitter user (blue dot), or a hashtag (red dot).  The … Continue reading

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Getting Started With Gephi Network Visualisation App – My Facebook Network, Part III: Ego Filters and Simple Network Stats

Originally posted on OUseful.Info, the blog…:
In a couple of previous posts on exploring my Facebook network with Gephi, I’ve shown how to plot visualise the network, and how to start constructing various filtered views over it (Getting Started…

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Artistic Twitter social network graphs by Gephi

The above image contains almost 100.000 nodes, extracted from my Twitter relationships (transitively, of course, I’m not the Lady Gaga of  social networking, after all…! 😉 The above image was obtained by allowing Gephi to execute its Force Atlas 3D … Continue reading

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Artistic Twitter Network Displays

These #Gephi layouts of my Twitter network start to look like pieces of art… don’t know about you, but I find these displays beautiful…! There’s almost 100.000 nodes in that graph, an amount that would be totally impossible to make … Continue reading

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Python Power

I really start to like Python – the programming language… Just a few examples of its power: *) let’s say I want to count and store the frequency of letters in a list: #letter frequency counter using dict data type … Continue reading

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Social Network analysis of Carl Bildt’s – Swedish Foreign Minister – Twitter activities

As I’ve posted before, the Swedish Foreign Minister Carl Bildt is very active on social media since long time (cudos, Carl!), as well as a proponent of close cooperation with foreign (read NATO + Israeli) security and intelligence services. Furthermore, … Continue reading

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Who has most influence within your network…?

Whether you are a leader, manager, coach, politician or dreaded marketeer, you would want to know who or which persons are the most influencial within your network, regardless of that network being a social or professional one. I just analyzed … Continue reading

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