Web platform for the identification and analysis of events on Twitter and its influencers
This article presents the results of the research carried out based on the extraction of a large volume of data from the UBER case in Colombia. The research on the #UberSeQueda phenomenon addresses different aspects in which transparency and democratization of information are the result of the use o...
- Autores:
-
Silva, Jesus
Vargas, Jesus
Cabrera, Danelys
Carlos, Lourdes
Vigo, Emperatriz
Bonerge Pineda, Omar
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10755
- Acceso en línea:
- https://hdl.handle.net/11323/10755
https://repositorio.cuc.edu.co/
- Palabra clave:
- Social network analysis
Graphs
Influential actors
Interdisciplinary
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Web platform for the identification and analysis of events on Twitter and its influencers |
| title |
Web platform for the identification and analysis of events on Twitter and its influencers |
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Web platform for the identification and analysis of events on Twitter and its influencers Social network analysis Graphs Influential actors Interdisciplinary |
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Web platform for the identification and analysis of events on Twitter and its influencers |
| title_full |
Web platform for the identification and analysis of events on Twitter and its influencers |
| title_fullStr |
Web platform for the identification and analysis of events on Twitter and its influencers |
| title_full_unstemmed |
Web platform for the identification and analysis of events on Twitter and its influencers |
| title_sort |
Web platform for the identification and analysis of events on Twitter and its influencers |
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Silva, Jesus Vargas, Jesus Cabrera, Danelys Carlos, Lourdes Vigo, Emperatriz Bonerge Pineda, Omar |
| dc.contributor.author.none.fl_str_mv |
Silva, Jesus Vargas, Jesus Cabrera, Danelys Carlos, Lourdes Vigo, Emperatriz Bonerge Pineda, Omar |
| dc.subject.proposal.eng.fl_str_mv |
Social network analysis Graphs Influential actors Interdisciplinary |
| topic |
Social network analysis Graphs Influential actors Interdisciplinary |
| description |
This article presents the results of the research carried out based on the extraction of a large volume of data from the UBER case in Colombia. The research on the #UberSeQueda phenomenon addresses different aspects in which transparency and democratization of information are the result of the use of Twitter; a computational process is applied to extract influential actors from the messages sent. It is concluded, from the use of graphs, that the preponderance of the actors involved in a social movement based on social networks constantly changes in short periods of time and that it is necessary to combine methods that involve both the user’s profile and the current context. |
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2020 |
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2024-02-21T14:01:35Z |
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2024-02-21T14:01:35Z |
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Artículo de revista |
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Jesus Silva, Jesus Vargas, Danelys Cabrera, Lourdes Carlos, Emperatriz Vigo, Omar Bonerge Pineda, Web platform for the identification and analysis of events on Twitter and its influencers, Procedia Computer Science, Volume 170, 2020, Pages 1147-1152, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.03.052. |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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Jesus Silva, Jesus Vargas, Danelys Cabrera, Lourdes Carlos, Emperatriz Vigo, Omar Bonerge Pineda, Web platform for the identification and analysis of events on Twitter and its influencers, Procedia Computer Science, Volume 170, 2020, Pages 1147-1152, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.03.052. 1877-0509 10.1016/j.procs.2020.03.052 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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[1] A. Gonzalez-Agirre, E. Laparra, y G. Laparra, “Multilingual central repository version 3.0,” in Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12). Istanbul, Turkey: European Language Resources Association (ELRA), may 2012 [2]P. Rousseeuw, “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,” J. Comput. Appl. Math., vol. 20, no. 1, pp.53–65, Nov. 1987. [Online]. Disponible: http://dx.doi.org/10.1016/0377- 0427(87)90125-7. [3] F. Wilcoxon, “Individual comparisons by ranking methods,” Biometrics Bulletin, vol. 1, no. 6, pp. 80–83, 1945. [4] K. Toutanova, D. Klein, C. D. Manning, y Y. Singer, “Feature-rich part- of-speech tagging with a cyclic dependency network,” in Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, ser. NAACL ’03. Stroudsburg, PA, USA: Association for Computational Linguistics, 2003, pp. 173–180. [Online]. Disponible: http://dx.doi.org/10.3115/1073445.1073478. [5] Lis-Gutiérrez JP., Gaitán-Angulo M., Henao L.C., Viloria A., Aguilera-Hernández D., Portillo-Medina R. (2018) Measures of Concentration and Stability: Two Pedagogical Tools for Industrial Organization Courses. In: Tan Y., Shi Y., Tang Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10942. Springer, Cham [6] W. X. Zhao, J. Weng, J. He, E.-P. Lim, y H. Yan, “Comparing twitter and traditional media using topic models,” in 33rd European conference on advances in information retrieval (ECIR11). Berlin, Heidelberg: Springer-Verlag., 2011, pp. 338–349. [7] Viloria, A., & Gaitan-Angulo, M. (2016). Statistical Adjustment Module Advanced Optimizer Planner and SAP Generated the Case of a Food Production Company. Indian Journal of Science And Technology, 9(47). doi:10.17485/ijst/2016/v9i47/107371. [8] F. Villada, N. Muñoz, y E. García, Aplicación de las Redes Neuronales al Pronóstico de Precios en Mercado de Valores, Información tecnológica, vol. 23, núm. 4, pp. 11–20. 2012.. [9] N. Sapankevych y R. Sankar, “Time Series Prediction Using Support Vector Machines: A Survey”, IEEE Computational Intelligence Magazine, vol. 4, núm. 2, pp. 24–38, may 2009. [10]Viloriaa, A., & Lezamab, O. B. P. (2019). Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs. Procedia Computer Science, 151, 1201-1206. [11]E. M. Toro, D. A. Mejia, y H. Salazar, “Pronóstico de ventas usando redes neuronales”, Scientia et technica, vol. 10, núm. 26, 2004. [12]Hernández, J. A., Burlak, G., Muñoz Arteaga, J., y Ochoa, A. (2006). Propuesta para la evaluación de objetos de aprendizaje desde una perspectiva integral usando minería de datos. En A. Hernández y J. Zechinelli (Eds.), Avances en la ciencia de la computación (pp. 382-387). México: Universidad Autónoma de México. [13]Romero, C., Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert systems with applications, 33(1), 135-146. [14]Romero, C., y Ventura, S. (2010). Educational data mining: a review of the state of the art. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40(6), 601-618. Disponible en: http://ieeexplore.ieee.org/xpl/RecentIssue. jsp?reload=true&punumber=5326 [15] Choudhury, A. and Jones, J. Crop yield prediction using time series models, Journal of Economics and Economic Education Research., 15,53-68, 2014. [16] Scheffer, T. (2004). Finding Association Rules that Trade Support Optimally Against Confidence. Intelligent Data Analysis, 9(4), 381-395. [16] Ruß G. Data Mining of Agricultural Yield Data: A Comparison of Regression Models, In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2009. Lecture Notes in Computer Science, vol 5633. [17] Viloria A., Lis-Gutiérrez JP., Gaitán-Angulo M., Godoy A.R.M., Moreno G.C., Kamatkar S.J. (2018) Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching - Learning Process Through Knowledge Data Discovery (Big Data). In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, vol 10943. Springer, Cham [18] Amigo, E., de Albornoz, J.C., Chugur, I., Corujo, A., Gonzalo, J., Meij, E., de Rijke, M., Spina, D.: Overview of replab 2014: Author profiling and reputation dimensions for online reputation management. In: Information Access Evaluation. Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Sheffield, UK, September 15-18, 2014. Procee- dings. pp. 307–322 (2014) [19] Berrocal, J.L.A., Figuerola, C.G., Angel Zazo Rodrıguez: Reina at replab2013 topic detection task: Community detection. In: Proceedings of the Fourth International Conference of the CLEF initiative (2013) [20] Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explor. Newsl. 11(1), 10–18 (Nov 2009) [21] Ramırez-de-la Rosa, G., Villatoro-Tello, E., Jimenez-Salazar, H., Sanchez-Sanchez, C.: Towards automatic detection of user influence in twitter by means of stylistic and behavioral features. In: Gelbukh, A., Espinoza, F., Galicia-Haro, S. (eds.) Human-Inspired Computing and Its Applications, Lecture Notes in Computer Science, vol. 8856, pp. 245–256. Springer International Publishing (2014). [22] Riddell, J., Brown, A., Robins, L., Nauman, R., Yang, J., & Jauregui, J. (2020). What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets. Western Journal of Emergency Medicine, 21(1), 26. [23] Tantisuwankul, J., Manaskasemsak, B., & Rungsawang, A. (2020). A Study on Thai Internet’s Clickstream Data Using Topological Data Analysis. In Information Science and Applications (pp. 589-599). Springer, Singapore. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© Copyright 2020 Elsevier B.V., All rights reserved.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Silva, JesusVargas, JesusCabrera, DanelysCarlos, LourdesVigo, EmperatrizBonerge Pineda, Omar2024-02-21T14:01:35Z2024-02-21T14:01:35Z2020-04-09Jesus Silva, Jesus Vargas, Danelys Cabrera, Lourdes Carlos, Emperatriz Vigo, Omar Bonerge Pineda, Web platform for the identification and analysis of events on Twitter and its influencers, Procedia Computer Science, Volume 170, 2020, Pages 1147-1152, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2020.03.052.1877-0509https://hdl.handle.net/11323/1075510.1016/j.procs.2020.03.052Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This article presents the results of the research carried out based on the extraction of a large volume of data from the UBER case in Colombia. The research on the #UberSeQueda phenomenon addresses different aspects in which transparency and democratization of information are the result of the use of Twitter; a computational process is applied to extract influential actors from the messages sent. It is concluded, from the use of graphs, that the preponderance of the actors involved in a social movement based on social networks constantly changes in short periods of time and that it is necessary to combine methods that involve both the user’s profile and the current context.6 páginasapplication/pdfengElsevier BVNetherlandshttps://www.scopus.com/record/display.uri?eid=2-s2.0-85085565893&doi=10.1016%2fj.procs.2020.03.052&origin=inward&txGid=ff296979d2cd3d78d27b30b6208bb665Web platform for the identification and analysis of events on Twitter and its influencersArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Procedia Computer Science[1] A. Gonzalez-Agirre, E. Laparra, y G. Laparra, “Multilingual central repository version 3.0,” in Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12). Istanbul, Turkey: European Language Resources Association (ELRA), may 2012[2]P. Rousseeuw, “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,” J. Comput. Appl. Math., vol. 20, no. 1, pp.53–65, Nov. 1987. [Online]. Disponible: http://dx.doi.org/10.1016/0377- 0427(87)90125-7.[3] F. Wilcoxon, “Individual comparisons by ranking methods,” Biometrics Bulletin, vol. 1, no. 6, pp. 80–83, 1945.[4] K. Toutanova, D. Klein, C. D. Manning, y Y. Singer, “Feature-rich part- of-speech tagging with a cyclic dependency network,” in Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, ser. NAACL ’03. Stroudsburg, PA, USA: Association for Computational Linguistics, 2003, pp. 173–180. [Online]. Disponible: http://dx.doi.org/10.3115/1073445.1073478.[5] Lis-Gutiérrez JP., Gaitán-Angulo M., Henao L.C., Viloria A., Aguilera-Hernández D., Portillo-Medina R. (2018) Measures of Concentration and Stability: Two Pedagogical Tools for Industrial Organization Courses. In: Tan Y., Shi Y., Tang Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10942. Springer, Cham[6] W. X. Zhao, J. Weng, J. He, E.-P. Lim, y H. Yan, “Comparing twitter and traditional media using topic models,” in 33rd European conference on advances in information retrieval (ECIR11). Berlin, Heidelberg: Springer-Verlag., 2011, pp. 338–349.[7] Viloria, A., & Gaitan-Angulo, M. (2016). Statistical Adjustment Module Advanced Optimizer Planner and SAP Generated the Case of a Food Production Company. Indian Journal of Science And Technology, 9(47). doi:10.17485/ijst/2016/v9i47/107371.[8] F. Villada, N. Muñoz, y E. García, Aplicación de las Redes Neuronales al Pronóstico de Precios en Mercado de Valores, Información tecnológica, vol. 23, núm. 4, pp. 11–20. 2012..[9] N. Sapankevych y R. Sankar, “Time Series Prediction Using Support Vector Machines: A Survey”, IEEE Computational Intelligence Magazine, vol. 4, núm. 2, pp. 24–38, may 2009.[10]Viloriaa, A., & Lezamab, O. B. P. (2019). Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs. Procedia Computer Science, 151, 1201-1206.[11]E. M. Toro, D. A. Mejia, y H. Salazar, “Pronóstico de ventas usando redes neuronales”, Scientia et technica, vol. 10, núm. 26, 2004.[12]Hernández, J. A., Burlak, G., Muñoz Arteaga, J., y Ochoa, A. (2006). Propuesta para la evaluación de objetos de aprendizaje desde una perspectiva integral usando minería de datos. En A. Hernández y J. Zechinelli (Eds.), Avances en la ciencia de la computación (pp. 382-387). México: Universidad Autónoma de México.[13]Romero, C., Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert systems with applications, 33(1), 135-146.[14]Romero, C., y Ventura, S. (2010). Educational data mining: a review of the state of the art. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40(6), 601-618. Disponible en: http://ieeexplore.ieee.org/xpl/RecentIssue. jsp?reload=true&punumber=5326[15] Choudhury, A. and Jones, J. Crop yield prediction using time series models, Journal of Economics and Economic Education Research., 15,53-68, 2014.[16] Scheffer, T. (2004). Finding Association Rules that Trade Support Optimally Against Confidence. Intelligent Data Analysis, 9(4), 381-395. [16] Ruß G. Data Mining of Agricultural Yield Data: A Comparison of Regression Models, In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects, ICDM 2009. Lecture Notes in Computer Science, vol 5633.[17] Viloria A., Lis-Gutiérrez JP., Gaitán-Angulo M., Godoy A.R.M., Moreno G.C., Kamatkar S.J. (2018) Methodology for the Design of a Student Pattern Recognition Tool to Facilitate the Teaching - Learning Process Through Knowledge Data Discovery (Big Data). In: Tan Y., Shi Y., Tang Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science, vol 10943. Springer, Cham[18] Amigo, E., de Albornoz, J.C., Chugur, I., Corujo, A., Gonzalo, J., Meij, E., de Rijke, M., Spina, D.: Overview of replab 2014: Author profiling and reputation dimensions for online reputation management. In: Information Access Evaluation. Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Sheffield, UK, September 15-18, 2014. Procee- dings. pp. 307–322 (2014)[19] Berrocal, J.L.A., Figuerola, C.G., Angel Zazo Rodrıguez: Reina at replab2013 topic detection task: Community detection. In: Proceedings of the Fourth International Conference of the CLEF initiative (2013)[20] Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explor. Newsl. 11(1), 10–18 (Nov 2009)[21] Ramırez-de-la Rosa, G., Villatoro-Tello, E., Jimenez-Salazar, H., Sanchez-Sanchez, C.: Towards automatic detection of user influence in twitter by means of stylistic and behavioral features. In: Gelbukh, A., Espinoza, F., Galicia-Haro, S. (eds.) Human-Inspired Computing and Its Applications, Lecture Notes in Computer Science, vol. 8856, pp. 245–256. Springer International Publishing (2014).[22] Riddell, J., Brown, A., Robins, L., Nauman, R., Yang, J., & Jauregui, J. (2020). What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets. Western Journal of Emergency Medicine, 21(1), 26.[23] Tantisuwankul, J., Manaskasemsak, B., & Rungsawang, A. (2020). A Study on Thai Internet’s Clickstream Data Using Topological Data Analysis. In Information Science and Applications (pp. 589-599). 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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