Editing Communication and Social Networks (Spring 2024)/Visualization challenge (section)

== Harry Potter Data ==

The authors of [http://dx.doi.org/10.4236/ojapps.2013.32024 this paper] coded all of the peer support relationships in Harry Potter books. For each student, they also recorded their school year, gender and house.

You may want to ask questions like:
* Are students of the same gender more likely to provide support?
* Are Slytherins less likely to provide support?
* Are older students more likely to provide support to younger students?

As with the Dutch school data, I've prepared some files and some code to get you started. These data files are for the fifth book. You may want to remove nodes who don't have any edges (since they might not even appear in the book).

<syntaxhighlight lang="R">
library(tidyverse)
library(igraph)
library(tidygraph)
library(ggraph)

nodes = read_csv('https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/resources/harry_potter_files/hp_node_atts.csv')
edges = read_csv('https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/resources/harry_potter_files/hp_edgelist.csv')

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