Editing Communication and Social Networks (Fall 2023)/Visualization challenge (section)

=== Resources ===

The [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.html Introduction to ggraph and tidygraph reading] actually uses this dataset. You can look to that for examples to build on (Here is the [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.Rmd R Markdown file] that I used to create the web page).

Data:
* [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/fall-2022/resources/school_graph_nodes.csv Node data]
* [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/fall-2022/resources/school_graph_edges.csv Edge data]

Descriptions of what each measure means are at [http://www.stats.ox.ac.uk/~snijders/siena/tutorial2010_data.htm this site], maintained by the people who collected the data.

To import the data you can right-click on and save the edge and node data files above to your computer and then import them into R.

Alternatively, the following code will download the files and create a graph object. You are welcome to reuse it.
<syntaxhighlight lang="R">
library(tidyverse)
library(igraph)
library(tidygraph)
library(ggraph)

nodes = read_csv('https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/fall-2022/resources/school_graph_nodes.csv')
edges = read_csv('https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/fall-2022/resources/school_graph_edges.csv')

G = graph_from_data_frame(d=edges, v=nodes) %>% as_tbl_graph()
</syntaxhighlight>