The framework of non-cooperative game theory has been recently extended to study strategic behavior in complex socio-economic networks. However, the existence of a large number of (very different) Nash equilibria makes standard game theoretic analysis cumbersome and quantitatively less effective. On the other hand, it opens to the application of advanced theoretical and algorithmic techniques from the statistical mechanics of disordered systems. I will discuss our recent results on the problem of free-riding in public goods games and on the emergence of collaborative equilibria.