Scientific Visualization, 2019, volume 11, number 2, pages 11 - 27, DOI: 10.26583/sv.11.2.02
Evaluation of the dependency between the composer’s international concert tours and the development of cultural relations using scientific visualization and machine learning
Authors: Z.N. Kniaz1,A, S.Yu. Danilov2,B
A Gnessin Russian Academy of Music, Moscow, Russia
B Moscow Institute of Physics and Technology (MIPT), Russia
1 ORCID: 0000-0001-6738-1539, art.vivus@gmail.com
2 ORCID: 0000-0003-1346-1685, danilov@gosniias.ru
Abstract
The conception of the “culture dialog” is crucial for a perception of foreign culture and creation of analytic models of the mutual influence of music schools of different countries. Operas reflect historical processes that occur in the social, political and cultural life of a country. Traditional approaches to research in the field of creative development and mutual influences of compositors in different countries include systematization and generation of catalogs and chronographs that include information about different aspects of compositor’s creative activity. Most of such information is available as descriptions, chronological lists and data tables. Such data representation is not suitable for the holistic perception of the “culture dialog” phenomenon. This paper is focused on the different methods for the visualization of music history data based on scientific visualization and machine learning. The proposed methods improve the perception of a holistic perspective on the “culture dialog” phenomenon and can help to find hidden dependencies and trends.
Keywords: visualization, machine learning methods, visual analytics, cultural relations, opera theatre, Russia-France culture dialog.
