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https://github.com/kayleedavisgithub/intro-to-networks-with-r

For developing a training course on network studies in R. Follows YouTube guide -
https://github.com/kayleedavisgithub/intro-to-networks-with-r

analysis network network-analysis r

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For developing a training course on network studies in R. Follows YouTube guide -

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# Intro-to-Networks-With-R
For developing a training course on network studies in R

These R files are associated with a YouTube series on learning network analysis in R.

https://www.youtube.com/watch?v=bdpazrNEGoQ&list=PL_ZjndVyoHi49A1rGxlm_qdWgyuNS3ryh

*1- Introduction to Network Analysis With R:*

This script goes through the different network structures, how to load in and read through network data, and how to do some basic descriptive statistics (including graphing).

*2- Centrality*

This script goes through how to measure centrality in multiple different ways, and what some of the measures mean - and plotting based upon centrality measures.

*3- Nodes*

Includes properties on nodes, structural equivilance, roles, and positions.

*4- Diad/Triad*

This includes calculations and interpretations of diads and triads and when they might be useful in calculations (a lead in to community detection).

*5- Community*

This includes assortativity and community structure detection and graphing.

*6- Models*

This lecture only briefly covers basic network modeling and statistical interpretation.