Comparative network metrics for language and music

Authors

Ma. Christina Jamerlan ⋅ PH National Institute of Physics, University of the Philippines Diliman
Giovanni Tapang ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We study and compare music and language co-occurrence networks using a set of complex network metrics. Results indicate that music networks (bird call and folk song networks) contain more repetitive cliques compared to language networks (characters, prose, and poetry). Language networks (prose and poetry) were found to have a lower ASPL, indicating that their nodes are generally more well-connected by edges.

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Issue

2016: Proceedings of the 34th Samahang Pisika ng Pilipinas Physics Conference

Physics at the front and center: Strengthening core values in physics research
18–21 August 2016, University of the Philippines Visayas, Iloilo City

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Article ID

SPP-2016-4B-01

Section

Complex Systems and Data Analytics

Published

2016-08-18

How to Cite

[1]

MC Jamerlan and G Tapang, Comparative network metrics for language and music, Proceedings of the Samahang Pisika ng Pilipinas 34, SPP-2016-4B-01 (2016). URL: https://proceedings.spp-online.org/article/view/SPP-2016-4B-01.