Cross-evaluation of metrics to estimate the significance of creative works
Abstract
Whether it is Hollywood movies or research papers, identifying works of great significance is imperative in a modern society overflowing with information. Through analysis of a network constructed from citations between films as referenced in the Internet Movie Database, we obtain several automated metrics for significance. We find that the best automated method can identify significant films, represented by selection to the US National Film Registry, at least as well as the aggregate rating of many experts and far better than the rating of a single expert. We hypothesize that these results may hold for other creative works.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 20, 2015
- Source ID
- 10.1073/pnas.1412198112
Entities
People
- Luís A. Nunes Amaral
- Max Wasserman
- Xiao Han T Zeng
Organizations
- Army Research Office
- Howard Hughes Medical Institute
- Northwestern University