Editing Communication and Social Networks (Spring 2021)/Final project

'''[https://youtu.be/S3eX8Jn2dJI Video explaining the final project + example code]'''

Based on your work in this class, you will craft a pitch to help an organization make sense of their own
social networks and craft a portfolio of your work with data drawing on the previous labs and readings to support
your pitch.

# Select a potential employer, and research them to identify the pressing organizational issues facing them as a company.
# Write a document for a potential employer that
## Introduces you and states your professional objectives. (1 paragraph)
## Makes the case for the most important problems facing this organization or industry based on your research. Be sure to cite any literature that you use. (1 paragraph)
## Explains how a network approach and your expertise in particular can help address the sorts of problems facing their organization and industry
##* Include at least three distinctive insights (e.g., my expertise in network analysis can help you identify opinion leaders in this organization).
##* Include example visualizations of each insight from your own work (or create new visualizations).
##* Include ideas from and references to the class readings to make your case.
## Closes with a request for a meeting to learn more about their organization.
# Compile and submit your document on Brightspace

While I want everyone to write and turn in their own document, I encourage you to help each other with the visualization portions and to ask questions on the group Slack channel. I expect that the final document will be ~5 pages long (maybe longer if you want to showcase a lot of visualizations)

=== Format ===

If you are feeling adventurous, you are welcome to write this in an R Markdown file, with code and explanations combined in the same file. The next best option is to export your plots in RStudio and import them in a Word document.

=== Sample Business Data ===

If you would like, you can use data from a real organization. There are some great options of network data files already in igraph format at https://github.com/schochastics/networkdata. 

I created an example of how to load this data, and how to run some simple network metrics and visualizations [https://github.com/jdfoote/Communication-and-Social-Networks/raw/master/resources/final_project_example_code.Rmd here].

=== Examples ===

This project is similar to a final project that Josh Barbour assigns to his class. [https://purdue.brightspace.com/d2l/le/content/7389/viewContent/1455126/View View examples of their projects on Brightspace].