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Dynamical properties of evolving networks

Dynamical properties of evolving networks

This video was recorded at 4th European Phd Complexity School. 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.


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