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dc.contributor.authorPark, Doheumen_US
dc.contributor.authorBae, Arramen_US
dc.contributor.authorSchich, Maximilian ((UT Dallas)en_US
dc.contributor.authorPark, Juyongen_US
dc.date.accessioned2016-09-27T21:03:02Z
dc.date.available2016-09-27T21:03:02Z
dc.date.issued2015-04-22en_US
dc.identifier.issn2193-1127en_US
dc.identifier.urihttp://dx.doi.org/10.1140/epjds/s13688-015-0039-zen_US
dc.identifier.urihttp://hdl.handle.net/10735.1/5099
dc.description.abstractThe expanding availability of high-quality, large-scale data from the realm of culture and the arts promises novel opportunities for understanding and harnessing the dynamics of the creation, collaboration, and dissemination processes - fundamentally network phenomena - of artistic works and styles. To this end, in this paper we explore the complex network of western classical composers constructed from a comprehensive CD (Compact Disc) recordings data that represent the centuries-old musical tradition using modern data analysis and modeling techniques. We start with the fundamental properties of the network such as the degree distribution and various centralities, and find how they correlate with composer attributes such as artistic styles and active periods, indicating their significance in the formation and evolution of the network. We also investigate the growth dynamics of the network, identifying superlinear preferential attachment as a major growth mechanism that implies a future of the musical landscape where an increasing concentration of recordings onto highly-recorded composers coexists with the diversity represented by the growth in the sheer number of recorded composers. Our work shows how the network framework married with data can be utilized to advance our understanding of the underlying principles of complexities in cultural systems.en_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.rightsCC BY 4.0 (Attribution) Licenseen_US
dc.rights©2015 Park, et al.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectClassical period musicen_US
dc.subjectElectric network topologyen_US
dc.subjectEvolutionary computationen_US
dc.subjectSocial groupsen_US
dc.subjectMultiscale modelingen_US
dc.subjectMusiciansen_US
dc.subjectMathematical sociologyen_US
dc.subjectComposersen_US
dc.titleTopology and Evolution of the Network of Western Classical Music Composersen_US
dc.type.genrearticleen_US
dc.identifier.bibliographicCitationPark, Doheum, Arram Bae, Maximilian Schich, and Juyong Park. 2015. "Topology and evolution of the network of western classical music composers." EPJ Data Science 4(1): 2-2.en_US
dc.source.journalEPJ Data Scienceen_US
dc.identifier.volume4en_US
dc.identifier.issue1en_US


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