As a part of a paper investigating what educational factors are important to Veterinary Medical students, I have graphed the popular Student Doctor Network.

All personal information has been sanitized. Information is connected based upon two factors:

I created a little robot that would learn how words are related to each other. First, I'll show you that concept map first without any words and then with words. Can you guess many related words I told it to find for each word?

Today I decided to look at where my friends live and compare this to where they were born.
Here is where my friends were born:

Here is where my friends now live:

Today I created a miniature robot fashioned to talk about itself as my friends might. I used a surprisingly simple approach to achieve the results you are about to see. I couldn't believe how strikingly realistic this little guys/gal sounds. First I'll show you a picture of the raw output and then I'll give my attempt at translating it into normal text.

Today I decided I wanted to see what common interests connected my friends. I used similar social network analysis techniques only this time I was interested in finding common interests. You can feel free to take a look at it- you can drag the different pieces around and it will re-organize itself. Let me know what you think!

This is a post about a social network that I was graphing the other day. I have hidden the actual data, but I have left the visualization for you to play with! Let me know what you think. FYI- I will probably post one with visible data in the next couple days.