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My 1800+ LinkedIn Network Graphically Mapped | dan pontefract
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My 1800+ LinkedIn Network Graphically Mapped

My 1800+ LinkedIn Network Graphically Mapped

When it first came out I thought the LinkedIn Labs feature known as “InMaps” was really cool.

It still is really cool.

I haven’t used it in a couple of years, so after two days where I was on four planes and in three cities, I decided to vegetate on the couch and take another look at my LinkedIn network … graphically speaking.

Here’s what 1800 LinkedIn contacts look like and their relationship to me and each other.



  • Angela Alini / 3 May 2013 12:18

    Hi Dan,

    I was literally headed to bed when I saw this post…but now I’m all fired up.
    I have to confess I don’t get it. As a “graphing gal”, I have to say that I don’t see the usefulness of this graph, other than as a piece of digital abstract art. As someone whose daily bread and butter is communicating data graphically, I ask your forgiveness for the following rant.

    Where is the context? It doesn’t appear to be geospatial, what do the colors represent? What am I measuring with this visualization? Do the size of the bubbles represent number of connections (the circle being the absolute worst way to compare magnitude by the way since humans can’t compare areas very precisely….did I talk to you about that pie chart in chapter five yet….sigh:).

    Graphically speaking…what is this telling me??


  • Dan Pontefract / 3 May 2013 12:23

    Ha @Ang. And here I thought you didn’t sleep.


    Unfortunately, this is simply a PNG graphic … but if you had access to my account (or do it yourself) you would begin to see the clustered relationships by hovering over names and seeing how they map.

    The green/blue blob on the right, for me, is my SAP/BOBJ/CD family of friends.

    And the rest is an interesting mix of Enterprise 2.0, Leadership, HR, Learning, Culture, amongst other companies I’ve worked at (BCIT, TELUS, etc.) amongst other outliers.

    Try it!

  • Dan Pontefract / 3 May 2013 12:25

    But you can see how certain ‘clusters’ have stronger ties to each other than other ‘clusters’. It really is Big Data or at least BI fascinating.

Want to leave a comment? I'd love to hear from you. Cheers, dp.

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