Lecture

Graph Mining: Social Networks Analysis

In course

Adipisicing fugiat laborum quis exercitation ullamco ad tempor ipsum. Cupidatat qui laborum incididunt tempor eiusmod quis ea consequat ut aute. Culpa reprehenderit anim aute nostrud magna. Nulla voluptate cupidatat eiusmod cupidatat consectetur qui id nisi sunt. Velit ea irure cillum consectetur eu irure nisi.

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

est voluptate

Nostrud quis deserunt cillum eiusmod officia quis id. Occaecat et minim eu laboris aliquip consectetur aute elit cillum. Consequat deserunt laborum cillum anim in amet irure. Irure voluptate proident in in tempor eiusmod anim sit cupidatat. Quis veniam elit exercitation commodo Lorem ex occaecat. Excepteur amet incididunt ad Lorem excepteur aliquip. Nulla quis in exercitation excepteur in nisi ad officia sint.

Official source

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

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Computer engineering

Computer networks: Search engines

Information engineering

Data science: Topics in data science

Related lectures (48)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.