Folk-Tale Networks: A Statistical Approach to Combinations of Tale Types
AbstractThis paper is an attempt to study combinations of tale types using a networks approach and calculating the centrality index of each type (degree, betweenness, eigenvector centrality). The network of tale types seems to take the form of a ‘small world’ with a few types serving as bridges between highly connected sets of tale types. The centrality of each type also seems to depend more on its age than on how widespread it is.
- Table 5. Culturally successful fairy tales (according to Norenzayan et al. 2006).
- Table 4. Synthesis: ATU tale types with highest Centrality scores
- Table 3. ATU tale types with highest Betweenness Centrality scores.
- Table 2. ATU tale types with highest Eigenvector Centrality.
- Table 1. ATU tale types with highest Degree Centrality.
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