Although there's a lot of overlap, there's a difference between systems and networks. The main difference is that systems have purpose and goals, and are typically designed or built rather than grown. But otherwise, the ways to create change in a system are similar to the ways to create change in a network. This list in this articles is quite a good list; for networks, just stop using the list at item numbers three through one. What's interesting (from my perspective) is that this is also a pretty good (though very informal) guide to neural networks - the factors described here are the factors neural net algorithms seek to change mathematically.
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