LinkedIn InMaps – Visualize your network

InMaps provides a visual representation of your professional Linkedin universe, and allows you to better understand your professional ties and the relationship patterns.

Guest post by Prasad Kothari, Oct 15, 2013.

LinkedIn InMapsLinkedin InMaps

Developed by Linkedin Labs, InMaps provides a visual representation of your professional Linkedin universe. This appealing visualization tool allows anyone with a Linkedin account to map their professional ties and is a great way to understand the relationship patterns between you and your entire set of LinkedIn connections.

LinkedIn InMap, Manuel Lima

The map is color-coded to represent different affiliations or groups from your professional career, such as your previous employer, college classmates, or industries you've worked in. Bigger names represent people who are the most connected within that specific cluster or group. When you click on a contact within a circle you'll see their profile pop up on the right, as well as lines highlighting how they're connected to your connections.

See also another post by Prasad Kothari, Circle of Trust and Google Plus.

Prasad Kothari is experienced analytics professional. He worked extensively with clients such as Merck, Sanofi Aventis, Freddie Mac, Fractal Analytics, US Government and NIH on various social media and analytics projects. He has also written books on social media analytics. You can contact him at or +91-720-811-5292.

Gregory Piatetsky: here is a highlighted section showing my connections to LinkedIn scientist Peter Skomoroch, Data Scientist and Product Leader at LinkedIn.

LinkedIn InMap, connections between Gregory Piatetsky and Peter Skomoroch

I also generated a LinkedIn Map of my 700+ connections - see below. Some clusters were labeled automatically - colleagues from GTE Labs and KSP, in a couple I could see some patterns (KDD connections, Researchers, Europeans), others were hard to describe. What are your experiences with LinkedIn InMaps?

LinkedIn InMap, Gregory Piatetsky

See also a short video about inMaps from DJ Patil, who was LinkedIn Chief Scientist: