This repository provides materials for a session that is part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in November 2022. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2022.
This session will introduce you to network analysis using {tidygraph} and {ggraph}. We'll show you the basic theory behind graph theory and, then, apply those concepts to the packages' main functions. In the end, we'll show you a real-life example, based on Hertie School's twitter account, showing how to apply those tools in concrete.
The goals of this session are to (1) present you a general understanding about graph theory, (2) present the basic workflow of a network analysis, (3) show you how to integrate tidyverse, tidygraph and ggraph and (4) give you further reference.
- Introducing tidygraph
- Social Network Analysis in R part 1: Ego Network
- LBB: Social Network Analysis
- Network analysis in R
The material in this repository is made available under the MIT license.
Both instructors prepared together the material, the videos and the concepts behind the presentation.
Radwa Abdelsalam researched the mathematical concepts behind the package functions, the presentation examples and academic material.
Rodrigo Dornelles worked on organizing the package coding and data wrangling for the application examples.