EDA and Quantifying Edit Wars

Topics

This week’s assignments will guide you through the following topics:

Please read the following:

Edit Wars on Wikipedia Section 02 carefully. Really understand it and try to verify what you are reading in the data.
Aaron Halfaker, R. Stuart Geiger, Jonathan T. Morgan, and John Riedl. “The Rise and Decline of an Open Collaboration System: How Wikipedia’s Reaction to Popularity Is Causing Its Decline.” American Behavioral Scientist. [Link]

Complete the following tasks:

Calculate the M-Statistic for a single article with an ‘edit war’ (you may find script on WikiWarMonitor useful).
Attempt an EDA on the light-dump data on the WikiWarMonitor website (you may fall back to a smaller wikipedia, like simple english, if needed). Your EDA should attempt to:
- Orient the reader to what edit sequences look like in time and how they vary from article to article.
- Bonus: do a preliminary analysis of the M-statistic on many articles.

Answer the following questions:

How is collaboration defined in Halfaker/Geiger?
What article did you choose? What was the M-statistic?
Give one observation from your EDA that was interesting. Be specific and give specific values!
What was one difficulty that you encountered this week?