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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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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
