R Question

Description

Choose a Wikipedia page for a movie or novel that you have read/watched (use the movie Scarface). It doesn’t need to be high art but should have at least 10 named characters listed in the “plot” or “plot summary” section. 
You may do your work as an R Markdown notebook or in a word processor. If you do your work in a word processor, please include your R script in an appendix.
Go through the “plot” or “plot summary” section and record every relationship or interaction between named characters as an edge list. You do not need to record what type of relationship it is or what direction it has. (That is, you may create an undirected graph and ignore multiplexity).
For instance, here is the edge list for the original John Wick (2014)Links to an external site..
John_Wick,Helen
John_Wick,Iosef_Tarasov
Iosef_Tarasov,Aurelio
Aurelio,John_Wick
Iosef_Tarasov,Viggo_Tarasov
Viggo_Tarasov,John_Wick
Viggo_Tarasov,Marcus
Marcus,John_Wick
John_Wick,Winston
Kirill,Iosef_Tarasov
Kirill,John_Wick
Ms_Perkins,John_Wick
John_Wick,Harry
Harry,Ms_Perkins
Marcus,Viggo_Tarasov
Ms_Perkins,Viggo_Tarasov
Winston,Ms_Perkins
Do the following analyses of your fictional network:

graph (with vertices labeled please)
edge count
vertex count
density
clustering coefficient
community detection
size of the giant component
average path length or mean harmonic centrality
who has the highest degree centrality
who has the highest Bonacich centrality
who has the highest betweenness centrality

Explain what all these pieces of information mean and use them to give a structural interpretation of the plot. For instance, who is the most important character and in what sense are they important? Conversely, are any of the characters especially unimportant in a structural sense? Do parts of the network seem to reflect subplots or scenes? What does this purely structural analysis miss that a human being who has seen the movie or read the novel would understand? Do you think a more sophisticated social network analysis (eg, that had multiplex ties, directed ties, or edge weights) would capture things any better?

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