A cornucopia of interactive visualisations. You control the horizontal. You control the vertical. Networks, flocking, emergence, diffusion …it’s all here.
This is an utterly fascinating interactive description of network effects, complete with Nicky Case style games. Play around with the parameters and suddenly you can see things “going viral”:
We can see similar things taking place in the landscape for ideas and inventions. Often the world isn’t ready for an idea, in which case it may be invented again and again without catching on. At the other extreme, the world may be fully primed for an invention (lots of latent demand), and so as soon as it’s born, it’s adopted by everyone. In-between are ideas that are invented in multiple places and spread locally, but not enough so that any individual version of the idea takes over the whole network all at once. In this latter category we find e.g. agriculture and writing, which were independently invented ~10 and ~3 times respectively.
Play around somewhere and you start to see why cities are where ideas have sex:
What I learned from the simulation above is that there are ideas and cultural practices that can take root and spread in a city that simply can’t spread out in the countryside. (Mathematically can’t.) These are the very same ideas and the very same kinds of people. It’s not that rural folks are e.g. “small-minded”; when exposed to one of these ideas, they’re exactly as likely to adopt it as someone in the city. Rather, it’s that the idea itself can’t go viral in the countryside because there aren’t as many connections along which it can spread.
This really is a wonderful web page! (and it’s licensed under a Creative Commons Zero licence)
We tend to think that if something’s a good idea, it will eventually reach everyone, and if something’s a bad idea, it will fizzle out. And while that’s certainly true at the extremes, in between are a bunch of ideas and practices that can only go viral in certain networks. I find this fascinating.
I’ve never been so excited by a single diff in a JSON file.
Service workers are coming to Safari.
Here’s an interesting use of service workers: figure out the difference (the delta) between the currently-cached version of a file, and the version on the network, and then grab only the bits that have changed. It requires some configuration on the server side (to send back the diff) but it’s an interesting approach that could be worth keeping an eye on.
Greg isn’t just lamenting a perceived “sameness” in web design here. He’s taking a long-zoom view and pointing out that there’s always a sameness …and you can choose to go along with it or you can choose to differentiate.
Ernie's been writing online for five years. Mozzeltof!