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Concept

Dynamic network analysis

Related lectures (32)

Cayley Graphs: Properties and Applications

Explores the properties and applications of Cayley graphs in group theory and network analysis.

Networks, Flows MOOC: Optimization: principles and algorithms - Network and discrete optimization

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Networks: Costs MOOC: Optimization: principles and algorithms - Network and discrete optimization

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

Social Network Analysis: Friendship Relations

Introduces social network analysis through Python code modeling friendship relations.

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.

Network Averaging: Theory and Applications

On network averaging covers labeled and unlabeled networks, statistical methods, challenges in network analysis, and practical considerations.

Submodular Function Minimization

Covers submodular functions and their minimization, emphasizing diminishing returns and the Lovász Extension.

Topology in Complex Networks: Insights from Topological Data Analysis

Explores the role of higher-order topological properties in complex networks using topological data analysis for structural break and price anomaly detection.

Graph Models and Brain Connectomics

Explores graph theory in brain connectomics, MRI applications, network analysis relevance, and individual fingerprinting.

Scale-Free Networks: Power Laws and Preferential Attachment

Explores scale-free networks, power laws, preferential attachment, and network assortativity.

Graph Statistics: Random Graphs, Graph Homomorphisms, and Network Analysis Log in to Mediaspace to watch this video

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

Stochastic Blockmodel Estimation Log in to Mediaspace to watch this video

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

Extensions to Exchangeability: Statistical Analysis of Network Data Log in to Mediaspace to watch this video

Covers extensions to exchangeability in network data analysis, including graphon frameworks and edge exchangeability.

Modularity: Community Detection Algorithms Log in to Mediaspace to watch this video

Explores the Louvain Modularity Algorithm for optimizing community quality through modularity and its applications in social network analysis.

Graph Mining: Social Networks Analysis Log in to Mediaspace to watch this video

Explores graph mining in social networks, covering modularity algorithms and community detection.

Electrical Networks: Short-Circuit Currents Analysis Log in to Mediaspace to watch this video

Explores short-circuit current analysis in electrical networks, emphasizing nodal impedances and state variables.

Network Analysis: Methods and Applications Log in to Mediaspace to watch this video

Explores network analysis methods, operationalizing concepts, historical applications, and challenges in treating time within networks.

Statistical analysis of network data Log in to Mediaspace to watch this video

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

Social Network Analysis: Modularity Measure Log in to Mediaspace to watch this video

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