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This is a Social network anlysis from www.linkedinlabs.com/inmaps of my LinkedIn contacts. The color coding corresponds to different groups that I know, and how the tool classifies them. (I will say that it is remarkably correct)
LinkedIN20120610a
Tom's been counting down his inbox from silly heights. Working on averages, we can expect him to finish sometime on 11th July.
Within this data:
* 445 tweets from announcing he's leaving Yahoo to earlier tonight
* 174 beginning with the @ symbol
* 6 tweets containing both an @ and a link
* 56 retweets
* 22 hashtags
* 11 tweets of exactly 140 characters
* 50 Question marks
This chart isn't a see it + know it (at first encounter). You have to live with it for a while to recognize the patterns. While it's not quite there yet, there is some goodness here.
Some metrics you want low, some you want high... and that's fine for these charts when you use them over time.
Then you'll have recognizable patterns to overlay on your graph, like diabetes, and you'll see whether your profile measures up to a typical diabetic profile...
Now consider you're a nurse or doctor seeing today's patient list; who is at risk? Where are the "pain" points. What am I seeing over and over again? Etc...
This is the graph for trendmapper.com from this site:
www.aharef.info/static/htmlgraph/
To be completely accurate. It is the graph from this page:
I have made a graph out of the images to show how the uncanny valley effect worked in my case, with the experiment that I made with Alpha, 4 years ago:
www.flickr.com/photos/alpha_auer/sets/72157605718766594/
(This is almost the same as the one which I uploaded just before, except that I flattened out all the gradients that I had in that one. Seemed a bit too much somehow...)
Graph' en cour de réalisation...
f:11 - 1:40s - ISO 125 - 9mm (24mm) - -RawTherapee - Gimp
elk knitting graph. Use it if you like it! Not for commercial purposes though.
copyright Sandra Eterovic 2011
sandraeterovic.blogspot.com
This is a visualisation of my Facebook friends. I have created it as part of an assignment for "Social Network Analysis" -- an online course run by the University of Michigan.
The circles represent people, and the lines represent friendships. Darker circles indicate people with higher number of friendships.