Date of Original Version

6-27-2014

Type

Conference Proceeding

Rights Management

Copyright 2014 Association for Computational Linguistics

Abstract or Description

In this paper I apply a novel method of network text analysis to a sample of 150 original screenplays. That sample is divided evenly between unproduced, original screenplays (n = 75) and those that were nominated for Best Original Screenplay by either the Academy of Motion Picture Arts & Sciences or by major film critics associations (n = 75). As predicted, I find that the text networks derived from unproduced screenplays are significantly less complex, i.e. they contain fewer concepts (nodes) and statements (links). Unexpectedly, I find that those same networks are more cohesive, i.e. they exhibit higher density and coreness.

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Published In

Proceedings of the Joint Workshop on Social Dynamics and Personal Attributes in Social Media, 2014, 68-76.