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The link above is an open-source program I wrote that generates a network 
diagram and performs a basic social network analysis of a user's LinkedIn network. 
Egocentric network measures are generated uniquely for each user, and displayed 
in raw form and as a percentile against all other users of the site. If you go to the 
link - there is a button on the top of the page prompting the user to login to 
LinkedIn. It then uses the LinkedIn API to display their network. Readers might 
find it useful for interactive class demonstrations and/or quickly and cheaply 
fielding network surveys.

The visualization presented with the metrics has several advantages to LinkedIn 
Labs' InMaps tool. 1) it's open-source and can be improved upon collaboratively, 2) 
the visualization is written using the D3.js library, so it is dynamic and interactive 
(e.g. nodes are draggable and can be moved to make mutual connections more 
visible), 3) option for coloring nodes by industry, 4) option to enable/disable 
connections to self (to make structure of contacts more visible). There are of 
course features in the LinkedIn version that I have not yet built in, such as coloring 
via community detection and hover effects with contact pictures and job titles.

For those that are interested, you can see the full sample output here: and test it out for yourself at the above link (so long as 
the program does not exceed LinkedIn's API limits). A link to the source code can 
be found on the site.

Check it out and please distribute widely! 

Craig Tutterow
Doctoral Student
University of Chicago

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