Lecture

Graph Mining: Social Networks Analysis

In course

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Description

This lecture covers the fundamentals of graph mining, focusing on social network analysis. Topics include data mining overview, association rule mining, modularity algorithms, community detection, and edge betweenness computation. The instructor explains the Louvain Modularity Algorithm and Girvan-Newman Algorithm, illustrating their application in identifying communities within networks.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_otazmap5

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Computer engineering

Computer networks: Search engines

Information engineering

Data science: Topics in data science

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