GitHub - satocos135/animalfolktale-analysis: Code used for analyses in Nakawake & Sato, "Systematic quantitative analysis revealed zoological knowledge embedded in folktales" (original) (raw)
Supplementary Material for Nakawake & Sato (2019)
Nakawake, Y., Sato, K. (2019) Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales. Palgrave Communications 5, 161 doi:10.1057/s41599-019-0375-x
The paper (open access): https://www.nature.com/articles/s41599-019-0375-x#citeas
A preprint of the paper on arXiv: https://arxiv.org/abs/1907.03969
About data
The original plain-text data was from Uther(2004).
Using "Animal tales"(ATU1-299) as our corpus, We extracted
- Animal names
- Motif tags(Thompson Motif Index)
- Substitutable pairs of animals
from each tale type in the corpus.
This repository contains these extracted data and the source code of analyses in the paper.
Software version
In the analysis, we used softwares(version) below.
- Python (3.6.8)
- For main analyses
- R (3.4.4)
- For PCA
- Gephi (0.9.2)
- For drawing co-occurrent networks
File description
The contents of this repository are as follows:
- ./
- analysis.ipynb
* Main analyses in the paper (Python), Jupyter-notebook format - supplementary.ipynb
* Analyses in the supplementary materials, Jupyter-notebook format - utility.py
* Utility functions (Python) - PCA.ipynb
* For creating biplot (R), Jupyter-notebook format - data/
* animals_checked.tsv
* ATU index(atu_id) and occurrence of animals in each tales
* alternatives_checked.tsv
* ATU index(atu_id) and substitutable pairs in each tales
* motifs_checked.tsv
* ATU index(atu_id) and occurrence of motifs (TMI) in each tales
* animal_code.tsv
* Coding table for unifying animal categories
* categories_atu.tsv
* Categories of animal tales in ATU
* country_edited.tsv
* (supp.) ATU index(atu_id) and Geographic information of each tales
* country_code.tsv
* (supp.) Classification of country and ethnic groups. Mainly according to United Nations (1999)
* deceptive_motifs.tsv
* (supp.) List of deceptive motifs in TMI obtained by MOMFER(Karsdorp et al., 2015) - result/
* pca_tale_type.tsv
* Relative frequency of motifs by tale categories for PCA
* pca_animal.tsv
* Relative frequency of motifs by animals for PCA
* cooc_raw.tsv
* Result of co-occurent analysis of animals without name-unifying
* cooc_gephi.tsv
* Result of co-occurent analysis of animals after name-unifying for making network graph using Gephi
* cooc_overall.gephi
* Gephi file for drawing the overall co-occurrent network
* cooc_filtered.gephi
* Gephi file for co-occurrent network filtered by weight
* category_animals.tsv
* (supp. Table S1) Frequency of animal occurrences by each category
* animal_groups.tsv
* (supp. Table S3) List of groups which are labelled to unified animals
* region_count.tsv
* (supp. Table S4a) Frequency of each world area
* region_count_by_tale.tsv
* (supp. Table S4b) Frequency of tale types included each world area
* deception.tsv
* (supp. Table S5) List of deceptive motifs in each major index of TMI.
* deception_motif_without_k
* (supp. Table S6) List of deceptive motifs overlapping with motif K - requirements.txt
* Module and version information Por python - README.md
* This file
- analysis.ipynb
References
- Karsdorp, F, Van der Meulen, M, Meder, T, and Van den Bosch, A 2015 MOMFER: A Search Engine of Thompson's Motif-Index of Folk Literature. Folklore, 126(1), pp. 37-52.
- United Nations, Statistics Division 1999 Standard Country or Area Codes for Statistical Use (Rev. 4), Series M: Miscellaneous Statistical Papers, No. 49. United Nation, New York
- Uther H-J. 2004 The types of international folktales: a classification and bibliography, based on the system of Antti Aarne and Stith Thompson. Helsinki: Suomalainen Tiedeakatemia, Academia Scientiarum Fennica .
Changes
- Publish the page (7th July 2019)
- Add arXiv link (9th July 2019)
- Add supplementary materials (25th November 2019)
- Update the paper information (18th December 2019)