Trope Propagation in the Cultural Space
نویسندگان
چکیده
We investigate the patterns and evolution of cultural ideas and symbols in media using network analysis techniques. We leverage the TV Tropes wiki of media works, cross-referenced with the widelyrecognized character/situation types (tropes) that these works contain, to construct a bipartite graph representation of 4,616 films and their associated tropes. We perform community detection on a weighted projection of this graph, explore the correlation between clustering coefficient and external measures of film popularity, and attempt to model trope propagation through works (specifically the process by which film-nodes link to trope-nodes over time). Overall, we find that the TV Tropes dataset is too noisy for the purposes of community detection. However, a trope-based similarity metric proves to be moderately predictive of external measures of film acclaim. Likewise, the change in the frequency of trope occurrences over time indicates a process of cultural drift in which new published works tend to contain the same tropes as more recent works with a higher likelihood than the tropes of older works.
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