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Related lectures (32)

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Graph Statistics: Random Graphs, Graph Homomorphisms, and Network Analysis

Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.

Stochastic Blockmodel Estimation

Explores Stochastic Blockmodel estimation, spectral clustering, network modularity, Laplacian matrix, and k-means clustering.

Networks: Costs

Covers the concept of costs in network analysis, including generalized costs and link additivity.

Social Network Analysis: Modularity Measure

Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.

Statistical analysis of network data

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Graph Mining: Social Networks and Data Analysis

Explores graph mining in social networks, covering data analysis and community detection.

Facebook Research: User Analysis, Motivations, Identity, and Privacy

Covers Facebook research on user analysis, motivations, identity, and privacy.

The Coffee Web: Who Gets What?

Delves into the intricate coffee industry network, discussing supply chain management and sustainability challenges.

Networks and Brain Networks

Covers the basics of networks, focusing on brain networks, historical breakthroughs, small-world and scale-free network discoveries, and the importance of the human connectome.

Network Formation: Random Connection Models

Explores network formation through random connection models and node degree distribution.