RT info:eu-repo/semantics/article
T1 Network analysis of co-participation in thesis examination committees in an academic field in Spain
T2 Análisis de la red de co-participaciones en tribunales de tesis de un área científica en España
A1 Garrido Labrador, José Luis
A1 Ramírez Sanz, José Miguel
A1 Ahedo García, Virginia
A1 Arnaiz Rodríguez, Adrián
A1 García Osorio, César
A1 Santos Martín, José Ignacio
A1 Galán Ordax, José Manuel
K1 Complex networks
K1 Community detection
K1 Doctoral thesis
K1 Business organization
K1 Pattern recognition
K1 Redes complejas
K1 Detección de comunidades
K1 Tesis doctorales
K1 Organización de empresas
K1 Reconocimiento de patrones
K1 Investigación científica
K1 Research
K1 Empresas-Gestión
K1 Industrial management
K1 Informática
K1 Computer science
AB This paper applies complex network analysis to unveil the informal structure of the knowledge area of business organization —Organización de empresas— in Spain. To do so, we use the TESEO database. We retrieve and statically analyze all the thesesreferred to the UNESCO academic field of Organization and management of enterprises. Our results reveal a degreedistribution of the participation in thesis examining committees and thesis supervision compatible with a truncated power law.Community analysis of the projected network of co-participation in thesis committees presents modular structure. When wefocus on the backbone of such network, we find that the patterns detected can be partially explained by homophily of scholarsthat interact in the same academic association.
PB Asociación para el Desarrollo de la Ingeniería de Organización (ADINDOR)
SN 1132-175X
YR 2023
FD 2023-04
LK http://hdl.handle.net/10259/7659
UL http://hdl.handle.net/10259/7659
LA spa
NO The authors acknowledge financial support from the Spanish Ministry of Science, Innovation and Universities (HAR2017-90883-REDC and RED2018‐102518‐T), from the Junta de Castilla y León - Consejería de Educación (BDNS 425389 and BU055P20) and the predoctoral grant awarded to Virginia Ahedo (supported by the European Social Fund), and from NVIDIA Corporation and its donation of the TITAN Xp GPUs that facilitated this research. In addition, the authors would like to thank Dr. Manzanedo, Dra. SaizBárcena, Dr. Solé Parellada, Dr. Izquierdo and Dr. del Olmo for their insightful help to improve the manuscript and Alicia Olivares-Gil and Yi Peng Ji for some programming help.
DS Repositorio Institucional de la Universidad de Burgos
RD 18-abr-2024