Lecture

Matrices and Networks

In course

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Description

This lecture covers the application of matrices and eigendecompositions in the context of networks, focusing on topics such as adjacency matrices, spectral clustering, and PageRank algorithm. It explores how matrices can represent network structures and how eigenvectors and eigenvalues play a crucial role in analyzing network properties and dynamics.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_tmwjjfzd

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Discrete mathematics: Graph theory

Analysis: Numerical analysis

Computer engineering

Computer security: Pseudorandomness

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