Social Dynamics of Contagion and Discovery

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Related lectures (30)

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Epidemic Spreading Models

Covers classical models of epidemic spreading and dynamics on networks with examples.

Handling Network Data

Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.

Handling Networks: Graph Theory

Covers the fundamentals of handling networks and centrality measures in graph theory.

Statistical Analysis of Network Data: Noisy Sampled Networks

Explores statistical analysis of network data, covering noisy sampled networks, likelihood estimation, multilayer networks, and directed networks.

Structured Synaptic Connectivity

Explores the structured synaptic connectivity between hippocampal regions using techniques like mGRASP and modeling.

Introduction to Networks and Brain Networks

Introduces the fundamentals of network science, focusing on brain networks and their historical breakthroughs.

Handling Network Data

Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.

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.

Inference for Stochastic Processes: Large Networks Analysis

Explores inference for stochastic processes, emphasizing large networks analysis and the need for new theories and methods.

Swiss Energy Sector Overview

Offers an overview of the Swiss energy sector, emphasizing key actors and the transition process.