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Mapping the scientific structure of organization and management of enterprises using complex networks

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Mapping the scientific structure of organization and management of enterprises using complex networks

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Olivares-Gil, A.; Arnaiz-Rodríguez, A.; Ramírez-Sanz, JM.; Garrido-Labrador, JL.; Ahedo, V.; García-Osorio, C.; Santos, JI.... (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering. 10(1):65-76. https://doi.org/10.4995/ijpme.2022.16666

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Título: Mapping the scientific structure of organization and management of enterprises using complex networks
Autor: Olivares-Gil, Alicia Arnaiz-Rodríguez, Adrián Ramírez-Sanz, José Miguel Garrido-Labrador, José Luis Ahedo, Virginia García-Osorio, César Santos, José Ignacio Galán, José Manuel
Fecha difusión:
Resumen:
[EN] Understanding the scientific and social structure of a discipline is a fundamental aspect for scientific evaluation processes, identifying trends and niches, and balancing the trade-off between exploitation and ...[+]
Palabras clave: Complex networks , Community detection , Doctoral theses , Pattern recognition , Interdisciplinarity , Organization and management of enterprises
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
International Journal of Production Management and Engineering. (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2022.16666
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/ijpme.2022.16666
Código del Proyecto:
info:eu-repo/grantAgreement/MICIU//RED2018-102518-T/
...[+]
info:eu-repo/grantAgreement/MICIU//RED2018-102518-T/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119894GB-I00/ES/APRENDIZAJE AUTOMATICO CON DATOS ESCASAMENTE ETIQUETADOS PARA LA INDUSTRIA 4.0/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020118906GB-I00/
info:eu-repo/grantAgreement/JCYL//BU055P20/
info:eu-repo/grantAgreement/Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona//2020/00062/001/
info:eu-repo/grantAgreement/JCYL//EDU/875/2021/
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Agradecimientos:
The authors acknowledge financial support from the and Spanish Ministry of Science, Innovation Universities (RED2018-102518-T), the Spanish State Research Agency (PID2020118906GB-I00 and PID2020-119894GB-I00 via ...[+]
Tipo: Artículo

References

Barabási, A. ., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and Its Applications, 311(3-4), 590-614. https://doi.org/10.1016/S0378-4371(02)00736-7

Bascompte, J. (2007). Networks in ecology. Basic and Applied Ecology, 8(6), 485-490. https://doi.org/10.1016/j.baae.2007.06.003

Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008 [+]
Barabási, A. ., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., & Vicsek, T. (2002). Evolution of the social network of scientific collaborations. Physica A: Statistical Mechanics and Its Applications, 311(3-4), 590-614. https://doi.org/10.1016/S0378-4371(02)00736-7

Bascompte, J. (2007). Networks in ecology. Basic and Applied Ecology, 8(6), 485-490. https://doi.org/10.1016/j.baae.2007.06.003

Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008

Castelló i Cogollos, L. C., Bueno Cañigral, F. J., & Valderrama Zurián, J. C. (2019). Análisis de redes sociales y bibliométrico de las tesis españolas sobre drogodependencias en la base de datos TESEO. Adicciones, 31(4), 309-323. https://doi.org/10.20882/adicciones.1150

Cheng, F., Kovács, I. A., & Barabási, A.-L. (2019). Network-based prediction of drug combinations. Nature Communications, 10(1), 1197. https://doi.org/10.1038/s41467-019-09186-x

Fortunato, S., & Hric, D. (2016). Community detection in networks: A user guide. Physics Reports, 659, 1-44. https://doi.org/10.1016/j.physrep.2016.09.002

Garrido-Labrador, J. L., Ramírez-Sanz, J. M., Ahedo, V., Arnaiz-Rodríguez, A., García-Osorio, C., Santos, J. I., & Galán, J. M. (2021). Network analysis of co-participation in thesis examination committees in an academic field in Spain. Dirección y Organización.

Grossman, W. J. (1997). Paul Erdos: The master of collaboration. Algorithms and Combinatorics, 14, 467-475.

Havlin, S., Kenett, D. Y., Ben-Jacob, E., Bunde, A., Cohen, R., Hermann, H., … Solomon, S. (2012). Challenges in network science: Applications to infrastructures, climate, social systems and economics. The European Physical Journal Special Topics, 214(1), 273-293. https://doi.org/10.1140/epjst/e2012-01695-x

Latora, V., Nicosia, V., & Russo, G. (2017). Complex Networks. Principles, Methods and Applications. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/9781316216002

Martínez-Frías, J., & Hochberg, D. (2007). Classifying science and technology: Two problems with the UNESCO system. Interdisciplinary Science Reviews, 32(4), 315-319. https://doi.org/10.1179/030801807X183605

Mata, A. S. da. (2020). Complex Networks: a Mini-review. Brazilian Journal of Physics, 50(5), 658-672. https://doi.org/10.1007/s13538-020-00772-9

Newman, M. E. J. (2001a). Scientific collaboration networks. I. Network construction and fundamental results. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 64(1), 8. https://doi.org/10.1103/PhysRevE.64.016131

Newman, M. E. J. (2001b). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 64(1), 7. https://doi.org/10.1103/PhysRevE.64.016132

Newman, M. E. J. (2001c). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2), 404-409. https://doi.org/10.1073/pnas.98.2.404

Newman, M. E. J. (2003). The Structure and Function of Complex Networks. SIAM Review, 45(2), 167-256. https://doi.org/10.1137/S003614450342480

Newman, M. E. J. (2018). Networks. Oxford, UK: Oxford University Press. https://doi.org/10.1093/oso/9780198805090.001.0001

Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015). Epidemic processes in complex networks. Reviews of Modern Physics, 87(3), 925-979. https://doi.org/10.1103/RevModPhys.87.925

Price, D. J. S. (1965). Networks of Scientific Papers. Science, 149(3683), 510-515. https://doi.org/10.1126/science.149.3683.510

Repiso, R., Torres, D., & Delgado, E. (2011). Análisis bibliométrico y de redes sociales en tesis doctorales españolas sobre televisión (1976/2007). (Spanish). Comunicar, 18(37), 151-159. https://doi.org/10.3916/C37-2011-03-07

Rodrigues, F. A. (2019). Network Centrality: An Introduction. In E. E. N. Macau (Ed.), A Mathematical Modeling Approach from Nonlinear Dynamics to Complex Systems (pp. 177-196). Springer. https://doi.org/10.1007/978-3-319-78512-7_10

Ruiz-Martin, C., Ramirez-Ferrero, M., Gonzalez-Alvarez, J. L., & López-Paredes, A. (2015). Modeling of a Nuclear Emergency Plan: Communication Management. Human and Ecological Risk Assessment: An International Journal, 21(5), 1152-1168. https://doi.org/10.1080/10807039.2014.955383

Schweitzer, F., Fagiolo, G., Sornette, D., Vega-Redondo, F., Vespignani, A., & White, D. R. (2009). Economic Networks: The New Challenges. Science, 325(5939), 422-425. https://doi.org/10.1126/science.1173644

Sedighi, M. (2016). Application of word co-occurrence analysis method in mapping of the scientific fields (case study: the field of Informetrics). Library Review, 65(1-2), 52-64. https://doi.org/10.1108/LR-07-2015-0075

UNESCO, N. (1988). Proposed international standard nomenclature for fields of science & technology. Paris: United Nations Educational, Scientific and Cultural Organization.

Villarroya, A., Barrios, M., Borrego, A., & Frías, A. (2008). PhD theses in Spain: A gender study covering the years 1990-2004. Scientometrics, 77(3), 469-483. https://doi.org/10.1007/s11192-007-1965-8

Watts, D. J. (1999). Small World. Princeton, NJ: Princeton University Press. https://doi.org/10.1515/9780691188331

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