Credits: 3 (3-0-0)
Description
Introduction to complex networked public systems. Centrality measures. Metrics for network evaluation. Power-law distribution of node degrees. Structure of real-world networks. Network construction. Erdos-Renyi & Watts-Strogatz random graph model. Configuration model. Generating function-based network methods. Exponential random graph models. Preferential attachment network formation model. Barabasi-Albert model. Structural optimization of networks. Percolation and network resilience. Network-based supervised learning. Community detection methods. Unsupervised network representation learning. Network-based semi-supervised learning. Network spatial analysis. Networked markets.