Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.1016/j.iedeen.2021.100176

Título: Connected Audiences in Digital Media Markets: The Dynamics of University Online Video Impact
Fecha de publicación: 2022
Editorial: Elsevier
Cita bibliográfica: European Research on Management and Business Economics
Materias relacionadas: CDU::3 - Ciencias sociales::33 - Economía::339 - Comercio. Relaciones económicas internacionales. Economía mundial. Marketing
Palabras clave: Digital media markets, online video, Granger causality networks, world-class universities, time series
Resumen: This paper analyses whether the audience dynamics of one content provider can explain the audience dynamics of a different content provider, and the resulting network of connections among providers. The type of connections in this network determines whether the audience of one creator influences or is susceptible to other creators’ audience. Granger causality networks are applied to prestigious universities that provide online videos on YouTube and the structure of the Audience Dynamics Network is described. This network presents an unbalanced degree distribution and a core-periphery structure. The centrality of the universities in the network is discussed and universities with influential and susceptible roles are identified. We find that audience connection is determined by the differences in the online video impact between each pair of universities. Centrality in the network is associated with university prestige, but this relation is mediated by online video impact.
Autor/es principal/es: López Buenache, Germán
Meseguer Martínez, Ángel
Ros Gálvez, Alejandro
Rosa García, Alfonso
Facultad/Departamentos/Servicios: Métodos Cuantitativos para la Economía y la Empresa
Versión del editor: https://www.sciencedirect.com/science/article/pii/S2444883421000358
URI: http://hdl.handle.net/10201/138128
DOI: https://doi.org/10.1016/j.iedeen.2021.100176
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 32
Derechos: info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: ©2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the accepted version of a Published Work that appeared in final form in European Research on Management and Business Economics. To access the final edited and published work see https://doi.org/10.1016/j.iedeen.2021.100176
Aparece en las colecciones:Artículos: Métodos Cuantitativos para la Economía y la Empresa

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