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Interactive network analysis using Python (Networkx) and JavaScript (sigma.js and d3.js). Case study using traditional Javanese narratives.

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villaorlado/wayangnetworks

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The networks of Wayang Kulit

This is a project by Miguel Escobar Varela and Andy Schauf. It explores how the stories of Wayang Kulit through network visualization and analysis.

See the interactive version. Clicking on the characters displays information about the network measurements and history of each character. This information is also linked to annotated summaries of 24 famous wayang stories.

Research ouput

Two papers detailing this work are available here:

Escobar Varela, M. (2019) Towards a digital, data-driven wayang kulit encyclopedia, Indonesia and the Malay World, DOI: 10.1080/13639811.2019.1553382

Schauf, A., & Escobar Varela, M. (2018). Searching for hidden bridges in co-occurrence networks from Javanese wayang kulit. Journal of Historical Network Research, 2(1), 26-52. https://doi.org/10.25517/jhnr.v2i1.42

Repository Structure

1_texts/

Original source materials - the raw text files containing the stories for analysis.

2_network_data/

Processed datasets for:

  • Network analysis
  • Simulations
  • Null model comparisons

3_experiments/

Python scripts for:

  • Network analysis
  • Simulations
  • Null model comparisons

4_network_visualization/

Gephi files for network visualization.

5_web_content/

Structured data prepared for the website:

  • Character information
  • Relationship data
  • Metadata

6_site_generator/

Tools to generate the static website:

  • Templates
  • Build scripts
  • Asset processing

html/

The final built website with all visualizations and analysis.

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Interactive network analysis using Python (Networkx) and JavaScript (sigma.js and d3.js). Case study using traditional Javanese narratives.

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