An article recently published in Nature's Scientific Reviews describes a new method to reverse-engineer network growth processes. Some examples of application include the discovery of growth processes for a small brain, social networks and a protein interactions network.
The algorithm uses a technique inspired by natural selection to evolve theories on how networks grow.
Here's also a blog post about it from one of the authors.
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Explaining Network Growth with Evolutionary Algorithms
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(Score: 0) by Anonymous Coward on Wednesday September 17 2014, @03:15AM
Some examples of application include the discovery of growth processes for a small brain
Gee, that's condescending. Does that mean I'll be able to read and understand the paper?