Social maps

Tweetsmap plots your Twitter followers on a map of the world:

Do it. It only takes a minute. On a live version of your map, you can click to get the absolute number of followers instead of %s. I wouldn’t put too much stuck in the details. Twenty minutes ago, Tweetmap told me I had no followers in Australia; now it reports I have 160 there.

Curiously, people who read Internet Time Blog are distributed differently:

However, this is an aberration. In the last week, my blog’s had thousands of visits from Indonesia. I don’t know why. They are drawn to this post in particular — 44,000 hits and still climbing. I imagine it’s because if you Google Google Translate, my post comes up #8 in the results. However, that doesn’t explain why so many hits are coming from Indonesia. I don’t get it.

Probably this pattern (for my closed blog on Informal Learning) is more representative.

I can’t figure out my LinkedIn stats.

The locations make sense, but only 22% in the top five locations? Whoa. No tail is that long.

The industry groupings ring true. People have to list location on LinkedIn but many probably don’t bother identifying their industry.

It’s a pity I rarely use LinkedIn. Their social maps are the most useful analytic tool in the bunch because they map relationships among your contacts. (Create your own LinkedIn social graph here.)

Something like this warrants personal study. [Click for larger version]

My learning colleagues are densely interconnected, as are the collaboration/KM people, but they are not very well connected to one another.

In the near future, social network maps like this will be commonplace in business. It’s a cool way to spot bottlenecks, overloads, and pockets of isolation.



If this topic interests you, I suggest you follow the work of Valdis Krebs. Valdis is far and away the sharpest tool in the drawer when it comes to putting this sort of technology to use.

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