Análisis de influencia de la red de colaboración de opciones reales

La teoría de opciones reales surgió como una alternativa para valorar las flexibilidades arraigadas en proyectos y ha adquirido popularidad desde finales del siglo xx. A través de métodos bibliométricos y teoría de grafos, este documento crea un análisis de la red de colaboración compuesta por los i...

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Autores:
Coutinho Fagundes, Hernandes
Tavares Nogueira, Rodrigo
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Externado de Colombia
Repositorio:
Biblioteca Digital Universidad Externado de Colombia
Idioma:
spa
OAI Identifier:
oai:bdigital.uexternado.edu.co:001/7794
Acceso en línea:
https://bdigital.uexternado.edu.co/handle/001/7794
https://doi.org/10.18601/17941113.n16.03
Palabra clave:
Real options;
bibliometrics;
collaboration networks;
social network analysis
opciones reales;
bibliometría;
redes de colaboración;
análisis de redes sociales
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openAccess
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Hernandes Coutinho Fagundes, Rodrigo Tavares Nogueira - 2019
id uexternad2_95b98e04be1e71d542aa1c9b9a06ec26
oai_identifier_str oai:bdigital.uexternado.edu.co:001/7794
network_acronym_str uexternad2
network_name_str Biblioteca Digital Universidad Externado de Colombia
repository_id_str
dc.title.spa.fl_str_mv Análisis de influencia de la red de colaboración de opciones reales
dc.title.translated.eng.fl_str_mv Influence analysis of real options collaboration network
title Análisis de influencia de la red de colaboración de opciones reales
spellingShingle Análisis de influencia de la red de colaboración de opciones reales
Real options;
bibliometrics;
collaboration networks;
social network analysis
opciones reales;
bibliometría;
redes de colaboración;
análisis de redes sociales
title_short Análisis de influencia de la red de colaboración de opciones reales
title_full Análisis de influencia de la red de colaboración de opciones reales
title_fullStr Análisis de influencia de la red de colaboración de opciones reales
title_full_unstemmed Análisis de influencia de la red de colaboración de opciones reales
title_sort Análisis de influencia de la red de colaboración de opciones reales
dc.creator.fl_str_mv Coutinho Fagundes, Hernandes
Tavares Nogueira, Rodrigo
dc.contributor.author.spa.fl_str_mv Coutinho Fagundes, Hernandes
Tavares Nogueira, Rodrigo
dc.subject.eng.fl_str_mv Real options;
bibliometrics;
collaboration networks;
social network analysis
topic Real options;
bibliometrics;
collaboration networks;
social network analysis
opciones reales;
bibliometría;
redes de colaboración;
análisis de redes sociales
dc.subject.spa.fl_str_mv opciones reales;
bibliometría;
redes de colaboración;
análisis de redes sociales
description La teoría de opciones reales surgió como una alternativa para valorar las flexibilidades arraigadas en proyectos y ha adquirido popularidad desde finales del siglo xx. A través de métodos bibliométricos y teoría de grafos, este documento crea un análisis de la red de colaboración compuesta por los investigadores de opciones reales, que incluye trabajos científicos de dieciocho años. En este esfuerzo identificamos meticulosamente a los autores y sus alianzas de coautoría, encontrando una topología distinta sin un componente gigante. Al desarrollar modelos no ponderados y ponderados, la red se desenreda y proporciona mediciones a partir de la propensión a la internacionalización y el cálculo de diferentes métricas de impacto, que reconocen a los investigadores más relevantes sobre el tema.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-10-18 16:08:37
2022-09-08T13:41:38Z
dc.date.available.none.fl_str_mv 2019-10-18 16:08:37
2022-09-08T13:41:38Z
dc.date.issued.none.fl_str_mv 2019-10-18
dc.type.spa.fl_str_mv Artículo de revista
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dc.relation.ispartofjournal.spa.fl_str_mv Odeon
dc.relation.references.spa.fl_str_mv Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus. Journal of the Association for Information Science and Technology, 60(7), 1320-1326.
Barabási, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512.
Barabási, A. L., 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), 590-614.
Bar-Ilan, J. (2008). Which H-index? - A Comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257-271.
Bar-Ilan, J., Levene, M., & Lin, A. (2007). Some Measures for Comparing Citation Databases. Journal of Informetrics, 1(1), 26-34.
Barrat, A., Barthelemy, M., & Vespignani, A. (2007). The Architecture of Complex Weighted Networks: Measurements and Models. In Large Scale Structure and Dynamics of Complex Networks: From Information Technology to Finance and Natural Science (pp. 67-92): World Scientific.
Bartneck, C., & Kokkelmans, S. (2011). Detecting h-index Manipulation Through Self-Citation Analysis. Scientometrics, 87(1), 85-98.
Bastian, M., Heymann, S., & Jacomy, M. Gephi: An Open Source Software for Exploring and Manipulating Networks. In International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence, 2009.
Borgatti, S. P. (2005). Centrality and Network Flow. Social Networks, 27(1), 55-71.
Borgatti, S. P., Carley, K. M., & Krackhardt, D. (2006). On the Robustness of Centrality Measures under Conditions of Imperfect Data. Social Networks, 28(2), 124-136.
Cervantes, E. P., & Mena-Chalco, J. P. (2010). A New Approach to Detect Communities in Multi-Weighted Co-Authorship Networks. In 2010 xxix International Conference of the Chilean Computer Science Society, Antofagasta, Chile, 15-19 Nov. 2010 2010 (pp. 131-138): IEEE.
Cervantes, E. P., Mena-Chalco, J. P., & Cesar, R. M. (2012). Towards a Quantitative Academic Internationalization Assessment of Brazilian Research Groups. In 2012 IEEE 8th International Conference on E-Science, Chicago, IL, USA, 8-12 Oct. 2012 (pp. 1-8): IEEE.
Cervantes, E. P., Mena-Chalco, J. P., De Oliveira, M. C. F., & Cesar, R. M. (2013). Using Link Prediction to Estimate the Collaborative Influence of Researchers. In 2013 IEEE 9th International Conference on eScience, Beijing, China, 22-25 Oct. 2013 2013 (pp. 293-300): IEEE. Clauset, A., Shalizi, C. R., & Newman, M. E. (2009). Power-law Distributions in Empirical Data. SIAM Review, 51(4), 661-703.
Colizza, V., Flammini, A., Serrano, M. A., & Vespignani, A. (2006). Detecting Rich-Club Ordering in Complex Networks. Nature physics, 2(2), 110-115.
Dixit, A. K., & Pindyck, R. S. (1994). Investment Under Uncertainty. Princeton: Princeton University Press.
Dixit, A. K., & Pindyck, R. S. (1995). The Options Approach to Capital Investment. Harvard Business Review, 73(3), 105-115.
Elsevier (2014). Scopus Quick Reference Guide. Available at: https://www.elsevier.com/__data/assets/pdf_file/0005/79196/scopus-quick-reference-guide.pdf.
Elsevier (2018a). Elsevier Developers. Available at http://api.elsevier.com.
Elsevier (2018b). Scopus. Available at: http://www.scopus.com.
Fagundes, H. C., & Nogueira, R. T. (2017). Analyzing the Collaboration Network of Real Options Authors. Paper presented at the 21st Annual International Conference on Real Options, Boston.
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. The faseb journal, 22(2), 338-342.
Flaatten, H., Rasmussen, L. S., & Haney, M. (2016). Publication Footprints and Pitfalls of Bibliometry. Acta Anaesthesiologica Scandinavica, 60(1), 3-5.
Freeman, L. C. (1978). Centrality in Social Networks Conceptual Clarification. Social Networks, 1(3), 215-239.
Fruchterman, T. M., & Reingold, E. M. (1991). Graph Drawing by Force-Directed Placement. Software: Practice and experience, 21(11), 1129-1164.
GitHub (2017). R Package to Interface with Elsevier and Scopus APIs. Available at: https://github.com/muschellij2/rscopus.
Groos, O. V., & Pritchard, A. (1969). Documentation Notes. Journal of Documentation, 25(4), 344-349.
Haak, L. L., Fenner, M., Paglione, L., Pentz, E., & Ratner, H. (2012). ORCID: a System to Uniquely Identify Researchers. Learned Publishing, 25(4), 259-264.
Hirsch, J. E. (2005). An Index to Quantify an Individual’s Scientific Research Output. Proceedings of the National academy of Sciences of the United States of America, 102(46), 16569.
Hou, H., Kretschmer, H., & Liu, Z. (2007). The Structure of Scientific Collaboration Networks in Scientometrics. Scientometrics, 75(2), 189-202.
Latapy, M. (2008). Main-Memory Triangle Computations for Very Large (Sparse [Power-Law]) Graphs. Theoretical Computer Science, 407(1-3), 458-473.
Leite, P., Mugnaini, R., & Leta, J. (2011). A New Indicator for International Visibility: Exploring Brazilian Scientific Community. Scientometrics, 88(1), 311.
Luthi, L., Tomassini, M., Giacobini, M., & Langdon, W. B. The Genetic Programming Collaboration Network and its Communities. In Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, 2007 (pp. 1643-1650): ACM.
Merton, R. K. (1968). The Matthew Effect in Science. Science, 159(3810), 56-63.
Newman, M. E. (2001). Scientific Collaboration Networks. II. Shortest Paths, Weighted Networks and Centrality. Physical Review E, 64(1), 016132.
Newman, M. E. (2004). Coauthorship Networks and Patterns of Scientific Collaboration. Proceedings of the national academy of sciences, 101(suppl 1), 5200-5205.
Newman, M. E. (2009). Random Graphs with Clustering. Physical review letters, 103(5), 058701.
Newman, M. E., Watts, D. J., & Strogatz, S. H. (2002). Random Graph Models of Social Networks. Proceedings of the national academy of sciences, 99(suppl. 1), 2566-2572.
Opsahl, T. (2010). Closeness Centrality in Networks with Disconnected Components. Available at: https://toreopsahl.com/2010/03/20/closeness-centrality-in-networkswith-disconnected-components/.
Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths. Social Networks, 32(3), 245-251.
Otte, E., & Rousseau, R. (2002). Social Network Analysis: A Powerful Strategy, also for the Information Sciences. Journal of information Science, 28(6), 441-453.
Tomassini, M., & Luthi, L. (2007). Empirical Analysis of the Evolution of a Scientific Collaboration Network. Physica A: Statistical Mechanics and its Applications, 385(2), 750-764.
Trigeorgis, L. (1996). Real Options: Managerial Flexibility and Strategy in Resource Allocation. Cambridge (MA): MIT Press.
van Steen, M. (2010). Graph Theory and Complex Networks - An Introduction (vol. 144). United States: van Steen, Maarten.
dc.rights.spa.fl_str_mv Hernandes Coutinho Fagundes, Rodrigo Tavares Nogueira - 2019
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spelling Coutinho Fagundes, Hernandes63727438-757f-4986-b88d-22124b64a3b2300Tavares Nogueira, Rodrigo1bd8d249-35c9-4c15-b7d3-5224eace52212019-10-18 16:08:372022-09-08T13:41:38Z2019-10-18 16:08:372022-09-08T13:41:38Z2019-10-18La teoría de opciones reales surgió como una alternativa para valorar las flexibilidades arraigadas en proyectos y ha adquirido popularidad desde finales del siglo xx. A través de métodos bibliométricos y teoría de grafos, este documento crea un análisis de la red de colaboración compuesta por los investigadores de opciones reales, que incluye trabajos científicos de dieciocho años. En este esfuerzo identificamos meticulosamente a los autores y sus alianzas de coautoría, encontrando una topología distinta sin un componente gigante. Al desarrollar modelos no ponderados y ponderados, la red se desenreda y proporciona mediciones a partir de la propensión a la internacionalización y el cálculo de diferentes métricas de impacto, que reconocen a los investigadores más relevantes sobre el tema.Real Options Theory arose as an alternative to valuate flexibilities entrenched in projects and has acquired popularity since the end of the twentieth century. Through bibliometric methods and graph theory, this paper develops an analysis of the collaboration network comprised of Real Options’ researchers, including scientific papers from over the last eighteen years. In this effort, we meticulously identify authors and their co-authorship alliances, finding a distinct topology without a giant component. Developing unweighted and weighted models, the network is unraveled, providing measurement from internationalization propensity and computing different impact metrics, which recognize the most relevant researchers on the subject.application/pdftext/html10.18601/17941113.n16.032346-21401794-1113https://bdigital.uexternado.edu.co/handle/001/7794https://doi.org/10.18601/17941113.n16.03spaFacultad de Finanzas, Gobierno y Relaciones Internacionaleshttps://revistas.uexternado.edu.co/index.php/odeon/article/download/6203/8052https://revistas.uexternado.edu.co/index.php/odeon/article/download/6203/8570Núm. 16 , Año 2019 : Enero-Junio651637OdeonArchambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus. Journal of the Association for Information Science and Technology, 60(7), 1320-1326.Barabási, A.-L., & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512.Barabási, A. L., 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), 590-614.Bar-Ilan, J. (2008). Which H-index? - A Comparison of WoS, Scopus and Google Scholar. Scientometrics, 74(2), 257-271.Bar-Ilan, J., Levene, M., & Lin, A. (2007). Some Measures for Comparing Citation Databases. Journal of Informetrics, 1(1), 26-34.Barrat, A., Barthelemy, M., & Vespignani, A. (2007). The Architecture of Complex Weighted Networks: Measurements and Models. In Large Scale Structure and Dynamics of Complex Networks: From Information Technology to Finance and Natural Science (pp. 67-92): World Scientific.Bartneck, C., & Kokkelmans, S. (2011). Detecting h-index Manipulation Through Self-Citation Analysis. Scientometrics, 87(1), 85-98.Bastian, M., Heymann, S., & Jacomy, M. Gephi: An Open Source Software for Exploring and Manipulating Networks. In International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence, 2009.Borgatti, S. P. (2005). Centrality and Network Flow. Social Networks, 27(1), 55-71.Borgatti, S. P., Carley, K. M., & Krackhardt, D. (2006). On the Robustness of Centrality Measures under Conditions of Imperfect Data. Social Networks, 28(2), 124-136.Cervantes, E. P., & Mena-Chalco, J. P. (2010). A New Approach to Detect Communities in Multi-Weighted Co-Authorship Networks. In 2010 xxix International Conference of the Chilean Computer Science Society, Antofagasta, Chile, 15-19 Nov. 2010 2010 (pp. 131-138): IEEE.Cervantes, E. P., Mena-Chalco, J. P., & Cesar, R. M. (2012). Towards a Quantitative Academic Internationalization Assessment of Brazilian Research Groups. In 2012 IEEE 8th International Conference on E-Science, Chicago, IL, USA, 8-12 Oct. 2012 (pp. 1-8): IEEE.Cervantes, E. P., Mena-Chalco, J. P., De Oliveira, M. C. F., & Cesar, R. M. (2013). Using Link Prediction to Estimate the Collaborative Influence of Researchers. In 2013 IEEE 9th International Conference on eScience, Beijing, China, 22-25 Oct. 2013 2013 (pp. 293-300): IEEE. Clauset, A., Shalizi, C. R., & Newman, M. E. (2009). Power-law Distributions in Empirical Data. SIAM Review, 51(4), 661-703.Colizza, V., Flammini, A., Serrano, M. A., & Vespignani, A. (2006). Detecting Rich-Club Ordering in Complex Networks. Nature physics, 2(2), 110-115.Dixit, A. K., & Pindyck, R. S. (1994). Investment Under Uncertainty. Princeton: Princeton University Press.Dixit, A. K., & Pindyck, R. S. (1995). The Options Approach to Capital Investment. Harvard Business Review, 73(3), 105-115.Elsevier (2014). Scopus Quick Reference Guide. Available at: https://www.elsevier.com/__data/assets/pdf_file/0005/79196/scopus-quick-reference-guide.pdf.Elsevier (2018a). Elsevier Developers. Available at http://api.elsevier.com.Elsevier (2018b). Scopus. Available at: http://www.scopus.com.Fagundes, H. C., & Nogueira, R. T. (2017). Analyzing the Collaboration Network of Real Options Authors. Paper presented at the 21st Annual International Conference on Real Options, Boston.Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. The faseb journal, 22(2), 338-342.Flaatten, H., Rasmussen, L. S., & Haney, M. (2016). Publication Footprints and Pitfalls of Bibliometry. Acta Anaesthesiologica Scandinavica, 60(1), 3-5.Freeman, L. C. (1978). Centrality in Social Networks Conceptual Clarification. Social Networks, 1(3), 215-239.Fruchterman, T. M., & Reingold, E. M. (1991). Graph Drawing by Force-Directed Placement. Software: Practice and experience, 21(11), 1129-1164.GitHub (2017). R Package to Interface with Elsevier and Scopus APIs. Available at: https://github.com/muschellij2/rscopus.Groos, O. V., & Pritchard, A. (1969). Documentation Notes. Journal of Documentation, 25(4), 344-349.Haak, L. L., Fenner, M., Paglione, L., Pentz, E., & Ratner, H. (2012). ORCID: a System to Uniquely Identify Researchers. Learned Publishing, 25(4), 259-264.Hirsch, J. E. (2005). An Index to Quantify an Individual’s Scientific Research Output. Proceedings of the National academy of Sciences of the United States of America, 102(46), 16569.Hou, H., Kretschmer, H., & Liu, Z. (2007). The Structure of Scientific Collaboration Networks in Scientometrics. Scientometrics, 75(2), 189-202.Latapy, M. (2008). Main-Memory Triangle Computations for Very Large (Sparse [Power-Law]) Graphs. Theoretical Computer Science, 407(1-3), 458-473.Leite, P., Mugnaini, R., & Leta, J. (2011). A New Indicator for International Visibility: Exploring Brazilian Scientific Community. Scientometrics, 88(1), 311.Luthi, L., Tomassini, M., Giacobini, M., & Langdon, W. B. The Genetic Programming Collaboration Network and its Communities. In Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, 2007 (pp. 1643-1650): ACM.Merton, R. K. (1968). The Matthew Effect in Science. Science, 159(3810), 56-63.Newman, M. E. (2001). Scientific Collaboration Networks. II. Shortest Paths, Weighted Networks and Centrality. Physical Review E, 64(1), 016132.Newman, M. E. (2004). Coauthorship Networks and Patterns of Scientific Collaboration. Proceedings of the national academy of sciences, 101(suppl 1), 5200-5205.Newman, M. E. (2009). Random Graphs with Clustering. Physical review letters, 103(5), 058701.Newman, M. E., Watts, D. J., & Strogatz, S. H. (2002). Random Graph Models of Social Networks. Proceedings of the national academy of sciences, 99(suppl. 1), 2566-2572.Opsahl, T. (2010). Closeness Centrality in Networks with Disconnected Components. Available at: https://toreopsahl.com/2010/03/20/closeness-centrality-in-networkswith-disconnected-components/.Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths. Social Networks, 32(3), 245-251.Otte, E., & Rousseau, R. (2002). Social Network Analysis: A Powerful Strategy, also for the Information Sciences. Journal of information Science, 28(6), 441-453.Tomassini, M., & Luthi, L. (2007). Empirical Analysis of the Evolution of a Scientific Collaboration Network. Physica A: Statistical Mechanics and its Applications, 385(2), 750-764.Trigeorgis, L. (1996). Real Options: Managerial Flexibility and Strategy in Resource Allocation. Cambridge (MA): MIT Press.van Steen, M. (2010). Graph Theory and Complex Networks - An Introduction (vol. 144). United States: van Steen, Maarten.Hernandes Coutinho Fagundes, Rodrigo Tavares Nogueira - 2019info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/https://revistas.uexternado.edu.co/index.php/odeon/article/view/6203Real options;bibliometrics;collaboration networks;social network analysisopciones reales;bibliometría;redes de colaboración;análisis de redes socialesAnálisis de influencia de la red de colaboración de opciones realesInfluence analysis of real options collaboration networkArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articleJournal articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionPublicationOREORE.xmltext/xml2598https://bdigital.uexternado.edu.co/bitstreams/2706d32e-130f-430b-b304-485da90878c5/download7d47611020ee4be406ae91a0c0418bfaMD51001/7794oai:bdigital.uexternado.edu.co:001/77942023-08-14 15:17:19.291https://creativecommons.org/licenses/by-nc-sa/4.0/Hernandes Coutinho Fagundes, Rodrigo Tavares Nogueira - 2019https://bdigital.uexternado.edu.coUniversidad Externado de Colombiametabiblioteca@metabiblioteca.org

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