Metodología para construir una red de investigadores con base en teoría de redes complejas
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.9818Palavras-chave:
Redes Complexas, Vigilância Científica e Tecnológica, Redes de Pesquisa, Medidas de Centralidade, Instituições de Ensino Superior, PythonResumo
Neste trabalho, uma ferramenta computacional baseada na teoria da rede e na vigilância científico-tecnológica foi implementada para visualizar as tendências de pesquisa de uma instituição de ensino superior: estudo de caso, Corporación universitaria empresarial Alexander von Humboldt. Para este fim, foi desenvolvido um instrumento para coletar informações sobre os projetos de pesquisa da instituição, com base no qual diferentes tipos de redes (palavras-chave e autores) foram construídas. Finalmente, foi feita uma análise de cada uma delas e foi estudada a centralidade das redes, resultando em uma rede mal conectada e de baixa densidade. Da mesma forma, foram identificadas as diferentes tendências de pesquisa na instituição, assim como os pesquisadores com a maior diversidade de tópicos.
Downloads
Referências
BOCCALETTI, Stefano; LATORA, Vito; MORENO, Yamir; CHAVEZ, Mario; HWANG, Dong-Uk. Complex networks: Structure and dynamics. In: Physics Reports. 2006. vol. 424, no. 4. p. 175–308. https://doi.org/10.1016/j.physrep.2005.10.009
BONDY, Jhon Adrian; MURTY. M. Ram. Graph Theory (Graduate Texts in Mathematics). Springer New York. 2008. https://www.zib.de/groetschel/teaching/WS1314/BondyMurtyGTWA.pdf
BOYACK, Kevin W.; KLAVANS, Richard. Creation and analysis of large-scale bibliometric networks. In: Springer Handbook of science and Technology Indicators. 2019, p. 187-212. https://doi.org/10.1007/978-3-030-02511-3_8
CARRILLO-ZAMBRANO, Eduardo; PÁEZ-LEAL, María Carolina; SUÁREZ, Jina Mayerly; LUNA-GONZÁLEZ, María Lucrecia. Modelo de vigilancia tecnológica para la gestión de un grupo de investigación en salud. En: MedUNAB. 2018. vol.21. no. 1 p. 84-99. https://doi.org/10.29375/01237047.2746
COLOMBIA. CONSEJO NACIONAL DE ACREDITACIÓN REPÚBLICA DE COLOMBIA. Lineamientos y aspectos por evaluar para la acreditación en alta calidad de las instituciones de educación superior. Bogotá: Consejo Nacional de Acreditación República de Colombia. 2021. https://www.cna.gov.co/1779/articles-404751_norma.pdf
COLOMBIA. CONSEJO NACIONAL DE ACREDITACIÓN REPÚBLICA DE COLOMBIA. Lineamientos y aspectos por evaluar para la acreditación en alta calidad de programas académicos. Bogotá: Consejo Nacional de Acreditación República de Colombia. 2021. https://www.cna.gov.co/1779/articles-404750_norma.pdf
COLOMBIA. MINISTERIO DE EDUCACIÓN NACIONAL DE COLOMBIA. Lineamientos para solicitud, otorgamiento y renovación de registro calificado. Programas de pregrado y posgrado. Bogotá: Ministerio de Educación Nacional de Colombia. 2013. https://www.mineducacion.gov.co/1621/articles-338177_archivo_pdf.pdf
DIESTEL, Reinhard. Graph Theory. Graduate Texts in Mathematics. In: Springer-Verlag Berlin Heidelberg. 2017. https://doi.org/10.1007/978-3-662-53622-3
DI BELLA, Enrico; GANDULLIA, Luca; PRETI, Sara. Analysis of scientific collaboration network of Italian Institute of Technology. In: Scientometrics. 2021. vol. 126. no 10, p. 8517-8539. https://doi.org/10.1007/s11192-021-04120-9
ENA, Oleg; MIKOVA, Nadezhda; SARITAS, Ozcan; SOKOLOVA, Anna. A methodology for technology trend monitoring: the case of semantic technologies. In: Scientometrics. 2016. vol. 108. p. 1013-1041. https://doi.org/10.1007/s11192-016-2024-0
ESTRADA, Ernesto. The Structure of Complex Networks: Theory and Applications. Oxford University Press, 2012.
GIMÉNEZ-TOLEDO, Elea; ROMÁN, ROMÁN, Adelaida. Vigilancia Tecnológica e Inteligencia Competitiva: Conceptos, Profesionales, Servicios y Fuentes de Información. En: El Profesional de La Información. Mayo, 2001. vol.10, no. 5. p.11–20. https://digital.csic.es/handle/10261/4369
GÜEMES‐CASTORENA, David; PONCE‐JARAMILLO, Idalia E. University–industry linkage framework to identify opportunity Areas. En: Review of Policy Research. 2019. vol. 36, no 5, p. 660-682. https://doi.org/10.1111/ropr.12355
HARJU, Tero. Lecture notes on graph theory (FIN-20014). Turku, Finland: University of Turku, 2007. http://users.utu.fi/harju/graphtheory/graphtheory.pdf.
JUNGNICKEL, Dieter. Graphs, networks and algorithms. Berlin: Springer, 2005. https://doc.lagout.org/science/0_Computer%20Science/2_Algorithms/Graphs%2C%20Networks%20and%20Algorithms%20%284th%20ed.%29%20%5BJungnickel%202012-11-09%5D.pdf
LUBANGO, Louis Mitondo. The effect of co-inventor’s reputation and network ties on the diffusion of scientific and technical knowledge from academia to industry in South Africa. In: World Patent Information. 2015. vol. 43. p. 5-11. https://doi.org/10.1016/j.wpi.2015.10.002
MALTSEVA, Daria; BATAGELJ, Vladimir. Social network analysis as a field of invasions: bibliographic approach to study SNA development. In: Scientometrics. 2019. vol. 121, no 2. p. 1085-1128. https://doi.org/10.1007/s11192-019-03193-x
MAYO, Michael; ABDELZAHER, Ahmed; GHOSH, Preetam. Long-range degree correlations in complex networks. In: Computational Social Networks. 2015. vol. 2, no 1. p. 1-13. https://doi.org/10.1186/s40649-015-0011-x
MARULANDA, Carlos E.; HERNÁNDEZ, Albeiro; LÓPEZ, Marcelo. Vigilancia tecnológica para estudiantes universitarios: El caso de la universidad nacional de Colombia, sede Manizales. En: Formación universitaria. 2016. vol. 9, no 2. p. 17-28. https://www.scielo.cl/pdf/formuniv/v9n2/art03.pdf
MESA ANGULO, José Gabriel; OSTOS ORTIZ, Olga Lucia; RENTERÍA, Rafael Ricardo. Modelo de Vigilancia Tecnológica E Inteligencia Estratégica: Evaluación de Nuevos Programas Académicos de La Universidad Santo Tomás.” Bogotá: Ediciones USTA. 2020. 248 p. https://doi.org/10.15332/li.lib.2020.00255
MIYASHITA, Shuto; SENGOKU, Shintaro. Scientometrics for management of science: Collaboration and knowledge structures and complexities in an interdisciplinary research project. In: Scientometrics. 2021. vol. 126, no 9, p. 7419-7444. https://doi.org/10.1007/s11192-021-04080-0
MUÑOZ DURÁN, Javier; MARÍN MARTÍNEZ, María; VALLEJO TRIANO, José. La vigilancia tecnológica en la gestión de proyectos de I+ D+ i: recursos y herramientas. En: El profesional de la información. 2006. vol. 15, no 5. p. 411-419. http://eprints.rclis.org/9400/
NEWMAN, Mark. Networks: An Introduction. Oxford University Press Inc, 2010. https://math.bme.hu/~gabor/oktatas/SztoM/Newman_Networks.pdf
NEWMAN, Mark; BARABASI, Albert-Laszlo; WATTS, Duncan J. The Structure and Dynamics of Networks. Princeton University Press, 2011. https://www.jstor.org/stable/j.ctt7ssgv
OSTOS, Olga Lucía; RENTERÍA-RAMOS, Rafael; CALA, Fabio. Construction of a Complex Network Using Technological Surveillance for the Strategic Management of Science, Technology, and Research in Higher Education Institutions in Colombia. In: Turkish Journal of Computer and Mathematics Education (TURCOMAT). 2021. vol. 12, no. 14. p. 1185-1197. https://turcomat.org/index.php/turkbilmat/article/view/10407
PEI, Sen; MORONE, Flaviano; MAKSE, Hernán A. Theories for influencer identification in complex networks. In: Complex spreading phenomena in social systems: Influence and contagion in real-world social networks, 2018, p. 125-148. https://doi.org/10.48550/arXiv.1707.01594
PLATT, Edward L. Network science with Python and NetworkX quick start guide: explore and visualize network data effectively. Packt Publishing Ltd, 2019.
PROVAN, Keith G; VEAZIE, Mark A; STATEN, Lisa K; TEUFEL-SHONE, Nicolette I. The use of network analysis to strengthen community partnerships. In: Public administration review, 2005, vol. 65, no 5, p. 603-613. http://www.jstor.org/stable/3542526
RAHMAN, Md Saidur. Basic Graph Theory. Springer, Cham, 2017. https://doi.org/10.1007/978-3-319-49475-3.
ROMERO HILLER, Grisel; LAVARCA, Avilio; PÉREZ, Naistha. Prospectiva y vigilancia científica tecnológica. En: Observador del Conocimiento, 2019, vol. 4, no 3, p. 49-56. https://revistaoc.oncti.gob.ve/index.php/odc/article/view/237
SAN JUAN, Yelena Islen; RODRÍGUEZ ROMERO, Felix Ivan. Modelos y herramientas para la vigilancia tecnológica. En: Ciencias de la Información. 2016. vol. 47, no 2. p. 11-18. https://www.redalyc.org/articulo.oa?id=181452083002
SERGIOU, Charalampos; LESTAS, Marios; ANTONIOU, Pavlos; LIASKOS, Christos; PITSILLIDES, Andreas. Complex systems: A communication networks perspective towards 6G. In: IEEE Access. 2020. vol. 8. p. 89007-89030. https://doi.org/10.1109/ACCESS.2020.2993527
TURNBULL, Laura; HÜTT, Marc-Thorsten; IOANNIDES, Andreas A; KININMONTH, Stuart; POEPPL, Ronald; TOCKNER, Klement; BRACKEN, Louise; KEESSTRA, Saskia; LIU, Lichan; MASSELINK, Rens y PARSONS, Anthony J. Connectivity and complex systems: learning from a multi-disciplinary perspective. In: Applied Network Science. 2018. vol. 3, no 1. p. 1-49. https://doi.org/10.1007/s41109-018-0067-2
VASEASHTA, Ashok. Advanced sciences convergence-based methods for surveillance of emerging trends in science, technology, and intelligence. In: Foresight. 2014. vol. 16, no 1. p. 17-36. https://doi.org/10.1108/FS-10-2012-0074
VELASCO, Carlos A; GARCÍA, Cristina. Inteligencia competitiva, prospectiva e innovación. La norma UE 166006 EX sobre el sistema de vigilancia tecnológica. En: Boletín económico de ICE. 2006. no 2896. https://www.researchgate.net/publication/28167269_Inteligencia_competitiva_prospectiva_e_innovacion_la_norma_UE_166006_EX_sobre_el_sistema_de_vigilancia_tecnologica http://www.metalonia.com/w/documents/BICE_2896_Norma%20UNE-166006%20EX.pdf
WEST, Douglas B. Introduction to Graph Theory. 2nd ed. Prentice Hall, 2001.
WILSON, Robin J. An Introduction to Graph Theory. Pearson Education India, 1970.
ZHANG, Junlong; LUO, Yu. Degree centrality, betweenness centrality, and closeness centrality in social networks. En 2017 2nd international conference on modeling, simulation and applied mathematics (MSAM2017). Atlantis Press, 2017. p. 300-303. https://doi.org/10.2991/msam-17.2017.68
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2023 Entramado
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
