Networks are usually studied as static objects, through the properties of a single snapshot of the network. The network generating mechanism are then deduced from the statistical properties of this snapshot. We propose a methodology to directly study the network evolution from dynamic data. This method joint with an appropriate Markov model for edge and node addition provides a direct insight on the network generation mechanism. The Markov model permits the quantitative comparison of the contribution of each generation mechanism to specific network properties.