Intro to (Social) Network Analysis in R

CorrelAidXBremen Data Meet-up 04/11/2020

Presentation, code, and data from the meet-up.

• Focus is on doing network analysis the "tidy" way, using the tidygraph and ggraph packages.
• Basic concepts and measures of network analysis are introduced.
• A scientific co-authorship network serves as example data (complete data set here).

Interactive plotting with the visNetwork package is also introduced.

Helpful Resources

• Great intro using different packages, good example of how to create/manipulate node and edge sets:
  https://www.jessesadler.com/post/network-analysis-with-r/

• Intro to tidygraph by the creator Mr. Thomas Lin Pedersen himself:
  https://www.data-imaginist.com/2017/introducing-tidygraph/ (reference manual: https://tidygraph.data-imaginist.com/reference/index.html)

• Extensive overview of visualisation possibilities, also for interactive plots:
  https://kateto.net/network-visualization

• An application of tidygraph an ggraph with Game of Thrones data:
  https://www.shirin-glander.de/2018/03/got_network/

• Extensive ggraph intro:
  http://mr.schochastics.net/netVizR.html