Editing Communication and Social Networks (Spring 2021)/Dutch School Data Visualization challenge
From CommunityData
The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then publish the changes below to finish undoing the edit.
Latest revision | Your text | ||
Line 10: | Line 10: | ||
First, I want you to think about a question and draw on a piece of paper what you want the outcome to look like. For example, if you want to visualize whether people who drink are more popular, you may decide to color nodes by in-degree and change their size or shape based on drinking behavior. | First, I want you to think about a question and draw on a piece of paper what you want the outcome to look like. For example, if you want to visualize whether people who drink are more popular, you may decide to color nodes by in-degree and change their size or shape based on drinking behavior. | ||
Second, you will do your best to recreate your idea using tidygraph and ggraph. I would like you to turn in both your drawing and your | Second, you will do your best to recreate your idea using tidygraph and ggraph. I would like you to turn in both your drawing and your | ||
=== Resources === | === Resources === | ||
The [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.html | The [https://jeremydfoote.com/Communication-and-Social-Networks/week_6/ggraph_walkthrough.html reading] on introducing `ggraph` and `tidygraph` 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: | Data: | ||
Line 23: | Line 21: | ||
* [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/spring-2021/resources/school_graph_edges.csv Edge data] | * [https://raw.githubusercontent.com/jdfoote/Communication-and-Social-Networks/spring-2021/resources/school_graph_edges.csv Edge data] | ||
To import the data you can save the edge and node data files to your computer and then import them into R. | |||
To import the data you can | |||
Alternatively, the following code will download the files and create a graph object. You are welcome to reuse it. | Alternatively, the following code will download the files and create a graph object. You are welcome to reuse it. | ||
Line 34: | Line 30: | ||
G = graph_from_data_frame(d=edges, v=nodes) %>% as_tbl_graph() | G = graph_from_data_frame(d=edges, v=nodes) %>% as_tbl_graph() | ||
</syntaxhighlight> | </syntaxhighlight> | ||
== The data == | |||
The R Markdown file linked above explains that I created 2 igraph objects for you: | |||
* <code>G</code> is a multiplex network, which includes both friendships and edges which represent whether two people went to grade school together | |||
* <code>friend_net</code> is just a simplified version of <code>G</code>, where I removed the grade school edges. | |||
In order to load these igraph objects into R you will need to run | |||
<code>load(url('https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/activities/school_graph.Rdata'))</code>. | |||
This should grab the igraph objects <code>G</code> and <code>friend_net</code>, and load them into your environment. Descriptions of both networks are in the R Markdown file. | |||
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. | |||
== Troubleshooting == | |||
Note that you may need to install the following packages to get my scripts to work: | |||
<code> | |||
install.packages('igraph') | |||
install.packages('tidygraph') # Only for the second script | |||
</code> | |||
This will install these libraries on your computer, so that you can use them |