Survivor is a reality game show where 16-20 contestants are put in a remote location to compete in challenges and vote each other off, by majority, one-by-one, until a single winner remains. On the surface, the concept of Survivor seems completely unrelated to web analytics. At its core, however, Survivor is effectively a strategic game where success is often determined by building alliances and connections with other players. Therefore, Survivor can be viewed as a social network that actually exemplifies many of the key concepts studied in this course.
In this project, we aim to use social network analysis to answer some of the following:
- What do social networks in Survivor look like? Are alliances and outcasts easily spotted?
- Is the general gameplay and strategy of Survivor changing over time?
- What is the optimal winning strategy or position in the network?
- Can winners be accurately predicted over the course of a season?
Please refer to project_notebook.ipynb for a file overview and navigation index.
And for the record, as of Dec. 13, we're picking Jeremy to win Cambodia with 6 contestants left.