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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:
http://imgur.com/LseKktx 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!
University of Chicago
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