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MCL763

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MCL763
Network Models for public Systems
Credits 3
Structure 3-0-0
Pre-requisites
Overlaps

MCL763 : Network Models for public Systems

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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.