An example of how automated text analysis leads, through social network construction, to recognition of key plot lines and characters in a fiction book.
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DaVinci Code. Network Analysis
1. The Da Vinci Code
Network Analysis
Dmitry Zinoviev—Suffolk University—dzinoviev@suffolk.edu—2016
2. Why Network Analysis?
● Identify core actors and places
● Identify relationships between actors, and
actors and places
● Identify groups (“clusters”) of actors
● ...ideally without reading the text
9. Betweenness
Label size—
betweenness
centrality (BC).
The higher is BC
—the more
“central” is the
character / place
Highest BC:
Robert, Sophie,
Leigh, Bishop
Aringarosa, Holy
Grail, Captain
Fache, Silas,
Jesus, Leonardo,
Church, and
Sauniere
10. Summary
● Identified three plot lines, including characters
and locations
● Identified “most important” characters
● Network as a navigational chart of the book
● Almost no reading involved!