Characterization of Filipino folk songs using a network approach

Authors

  • Ma. Christina Jamerlan National Institute of Physics, University of the Philippines Diliman
  • Ranzivelle Marianne Roxas Villanueva Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
  • Giovanni Tapang National Institute of Physics, University of the Philippines Diliman

Abstract

We use music networks to characterize 300 Filipino folk songs. Adjacent notes in Filipino folk songs tend to cluster together in short repetitive patterns resulting in lower densities compared to those of random networks. It was found that Filipino folk songs are not small-world networks.

Proceedings 2015 SPP Cover

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Published

2015-06-03

Issue

2015: Proceedings of the 33rd Samahang Pisika ng Pilipinas Physics Congress

Section

Complex Systems, Atmospheric Physics, Biophysics, and Medical Physics

License

By submitting their manuscript to the Samahang Pisika ng Pilipinas (SPP) for consideration, the Authors warrant that their work is original, does not infringe on existing copyrights, and is not under active consideration for publication elsewhere.
Upon acceptance of their manuscript, the Authors further agree to grant SPP the non-exclusive, worldwide, and royalty-free rights to record, edit, copy, reproduce, publish, distribute, and use all or part of the manuscript for any purpose, in any media now existing or developed in the future, either individually or as part of a collection.
All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.

How to Cite

[1]
“Characterization of Filipino folk songs using a network approach”, Proc. SPP, vol. 33, no. 1, pp. SPP–2015, Jun. 2015, Accessed: Mar. 28, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/1082