Co-authorship Networks and Scholarly Books: A Methodological Approach from a University Press Case Study
DOI:
https://doi.org/10.18046/recs.i40.5858Palavras-chave:
Scholarly Books, University Press, Co-authorship Networks, Bibliometrics, Social Network AnalysisResumo
This article contributes to bibliometric studies of scholarly book publishing by showing the co-authorship networks in the case of a university press. It uses social network analysis attributes associated with integrity and centrality metrics to, on the one hand, characterize the interaction in the network as a whole, and on the other hand, to identify the authors who play an important role within it. For this purpose, a database with 989 authors was built, it structures a network of 9656 links between co-authors distributed in 188 books published between 2007 and 2021 by Editorial Universidad Icesi. The main results are of two types: methodological ones that seek to present this study as a replicable model to study the production of books by other publishers; and another to understand this case study.
Downloads
Referências
Abadía, Adolfo A. (2021). Los retos de la edición de una revista científica. Unas reflexiones o recomendaciones prácticas para no morir en el intento. In Llegar a esos «otros». Negociado los chistes internos de la academia (pp. 237-274), edited by Diego A. Garzón-Forero; María E. Jaramillo-Cabanzo; Santiago Aparicio-Camacho. Bogotá: Universidad del Rosario. https://doi.org/10.12804/urosario9789587847598
Aguillo, Isitro F.; Bar-Ilan, Judith; Levene, Mark; Ortega, José L. (2010). Comparing university rankings. Scientometrics, 85(1), 243-256. https://doi.org/10.1007/s11192-010-0190-z
Alonso-Cifuentes, Julio C.; Carabali, Jaime A. (2019). Breve tutorial para visualizar y calcular métricas de redes (grafos) en R (para económicas). Icesi Economics Lecture Notes, 7. Retrieved from https://ideas.repec.org/p/col/000559/018170.html
Anderson, Rick (2018). Scholarly Communication: What Everyone Needs to Know. Oxford: Oxford University Press. https://doi.org/10.1093/wentk/9780190639440.001.0001
Andras, Peter; Idowu, Olusola; Periorellis, Panayiotis (2006). Fault tolerance and network integrity measures: The case of computer-based systems. In Adaptation in Artificial and Biological Systems (AISB ’06) (pp. 90-97). Retrieved from https://hexislab.com/wp-content/uploads/2022/04/Protein_interaction_network_analysis_rev-1.pdf
Ariel-Xu, Qianwen; Chang, Victor (2020). Co-authorship network and the correlation with academic performance. Internet of Things, 12, 100307. https://doi.org/10.1016/j.iot.2020.100307
Association of University Presses of Colombia - Aseuc (2022). Cómo afiliarse a Aseuc. Asociación de Editoriales Universitarias de Colombia. Retrieved from https://unilibros.co/informacion-para-afiliarse
Association of University Presses - AUPresses (2017). Eligibility Requirements. Association of University Presses. Retrieved from https://aupresses.org/membership/become-a-member/eligibility-requirements/
Ávila-Toscano, José H.; Marenco-Escuderos, Ailed D.; Romero-Pérez, Ivón. K. (2019). Redes de cooperación entre autores e instituciones en Ciencias Sociales dentro del modelo científico colombiano: comparación por género y área del conocimiento. Revista General de Información y Documentación, 29(1), 209-227. https://doi.org/10.5209/rgid.64545
Baji, Fatima; Mostafavi, Ismail; Parsaei-Mohammadi, Parastoo; Sabaghinejad, Zivar (2021). Partnership ability and co-authorship network of information literacy field. Scientometrics, 126(9), 8205-8216. https://doi.org/10.1007/s11192-021-04062-2
Bastian, Mathieu; Heymann, Sebastien; Jacomy, Mathieu (2009). Gephi: An open-source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media, Association for the Advancement of Artificial Intelligence, San José, California, USA. https://doi.org/10.1609/icwsm.v3i1.13937
Blondel, Vincent D.; Guillaume, Jean-Loup; Lambiotte, Renaud; Lefebvre, Etienne (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
Britton, Gregory M. (2022). Pensar como editor académico. El cómo y el porqué de las publicaciones académicas. In La labor del editor. El arte, el oficio y el negocio de la edición (pp. 74-85), edited by Peter Ginna. México: FCE.
Ceballos, Héctor G.; Fangmeyer, James; Galeano, Nathalie; Juarez, Erika; Cantu-Ortiz, Francisco J. (2017). Impelling research productivity and impact through collaboration: A scientometric case study of knowledge management. Knowledge Management Research & Practice, 15(3), 346-355. https://doi.org/10.1057/s41275-017-0064-8
Chi, Pei-Shan (2019). The field-specific reference patterns of periodical and non serial publications. Journal of the Association for Information Science and Technology, 70(3), 283-292. https://doi.org/10.1002/asi.24112
Cruz-e-Silva, Victor; Ribas-Cavalieri, Marco A. (2022). Patterns of interdisciplinary citations and asymmetry between economics and the neighboring social sciences from 1959 to 2018. Nova Economia, 32(1), 261-291. https://doi.org/10.1590/0103-6351/6591
Editorial Universidad Icesi - EUI (2019). Sobre los autores publicados. Editorial Universidad Icesi. Retrieved from https://www.icesi.edu.co/editorial/autores/
Edwards, Louise (2012). Editing Academic Books in the Humanities and Social Sciences: Maximizing Impact for Effort. Journal of Scholarly Publishing, 44(1), 61-74. https://doi.org/10.3138/jsp.44.1.61
Emery, Christina; Lucraft, Mithu; Morka, Agata; Pyne, Ros (2017). The OA effect: How does open access affect the usage of scholarly books? Springer Nature. Retrieved from https://resource-cms.springernature.com/springer-cms/rest/v1/content/15176744/data/v3
Engels, Tim C. E.; Istenič-Starčič, Andreja; Kulczycki, Emanuel; Pölönen, Janne; Sivertsen, Gunnar (2018). Are book publications disappearing from scholarly communication in the social sciences and humanities? Aslib Journal of Information Management, 70(6), 592-607. https://doi.org/10.1108/AJIM-05-2018-0127
Freeman, Linton C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
Giménez-Toledo, Elea (2020). Why Books are Important in the Scholarly Communication System in Social Sciences and Humanities. Scholarly Assessment Reports, 2(1). Retrieved from https://scholarlyassessmentreports.org/articles/10.29024/sar.14
Giménez-Toledo, Elea; Córdoba-Restrepo, Juan F.; Giraldo-González, Esteban; Mañana-Rodríguez, Jorge (2021). Calidad y prestigio de la edición académica. El caso colombiano. Signo y Pensamiento, 40(78). https://doi.org/10.11144/Javeriana.syp.40-78.cpea
Giménez-Toledo, Elea; Mañana-Rodríguez, Jorge; Tejada-Artigas, Carlos-Miguel (2015). Review of national and international initiatives on books and book publishers assessment. Profesional de la Información, 24(6), 705-716. https://doi.org/10.3145/epi.2015.nov.02
Giraldo-González, Esteban; Giménez-Toledo, Elea; Córdoba-Restrepo, Juan F. (2022). Producción de libros académicos en Colombia entre 2013 y 2019: un avance para estudios comparados. Investigación bibliotecológica: archivonomía, bibliotecología e información, 36(93), 153-176. http://dx.doi.org/10.22201/iibi.24488321xe.2022.93.58633
Glänzel, Wolfgang; Schubert, András (2005). Analyzing Scientific Networks Through Co-Authorship. In Handbook of Quantitative Science and Technology Research. The Use of Publication and Patent Statistics in Studies of S&T Systems (pp. 257-276), edited by Henk F. Moed; Wolfgang Glänzel; Ulrich Schmoch. Dordrecht: Kluwer Academic Publishers. https://doi.org/10.1007/1-4020-2755-9_12
Golbeck, Jennifer (2013). Network Structure and Measures. In Analyzing the Social Web (pp. 25-44). Waltham: Elsevier. https://doi.org/10.1016/B978-0-12-405531-5.00003-1
Greco, Albert N.; Aiss, Chelsea G. (2015). University Presses in the Twenty-first Century: The Potential Impact of Big Data and Predictive Analytics on Scholarly Book Marketing. Journal of Scholarly Publishing, 46(2), 105-140. https://doi.org/10.3138/jsp.46.2.01
Greco, Albert N.; Wharton, Robert M. (2010). The Market Demand for University Press Books: 2008-15. Journal of Scholarly Publishing, 42(1), 1-15. https://doi.org/10.3138/jsp.42.1.1
Hage, Per; Harary, Frank (1995). Eccentricity and centrality in networks. Social Networks, 17(1), 57-63. https://doi.org/10.1016/0378-8733(94)00248-9
Hansen, Derek L.; Shneiderman, Ben; Smith, Marc A.; Himelboim, Itai (2020). Grouping and filtering. In Analyzing Social Media Networks with NodeXL. Insights from a Connected World (pp. 95-113). Cambridge: Elsevier. https://doi.org/10.1016/B978-0-12-817756-3.00007-8
Hirsch, Jorge E. (2010). An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741-754. https://doi.org/10.1007/s11192-010-0193-9
Jacomy, Mathieu; Venturini, Tommaso; Heymann, Sebastien; Bastian, Mathieu (2014). ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLoS ONE, 9(6), e98679. https://doi.org/10.1371/journal.pone.0098679
Jacsó, Péter (2009). The h-index for countries in Web of Science and Scopus. Online Information Review, 33(4), 831-837. https://doi.org/10.1108/14684520910985756
Jubb, Michael (2018). Los libros académicos y su futuro: un informe para el consejo de investigación en artes y humanidades y la biblioteca británica. Bogotá: Universidad de los Andes/Universidad de Guadalajara/Universidad Nacional de Colombia.
Kalhor, Ghazal; Asadi-Sarijalou, Amin; Sharifi-Sadr, Niloofar; Bahrak, Behnam (2022). A new insight to the analysis of co-authorship in Google Scholar. Applied Network Science, 7(1), 21. https://doi.org/10.1007/s41109-022-00460-4
Kumar, Sameer (2015). Co-authorship networks: A review of the literature. Aslib Journal of Information Management, 67(1), 55-73. https://doi.org/10.1108/AJIM-09-2014-0116
Kwiek, Marek (2021). What large-scale publication and citation data tell us about international research collaboration in Europe: Changing national patterns in global contexts. Studies in Higher Education, 46(12), 2629-2649. https://doi.org/10.1080/03075079.2020.1749254
Lancho-Barrantes, Bárbara S.; Guerrero-Bote, Vicente P.; De Moya-Anegón, Félix (2013). Citation increments between collaborating countries. Scientometrics, 94(3), 817-831. https://doi.org/10.1007/s11192-012-0797-3
Larson, Myrna (2000). Microsoft.Public.Excel.Misc [Microsoft Excel; VBA]. Excel Negocios. shorturl.at/OVX15
León, Carlos; Bahos-Olivera, Angélica (2021). Quién es quién en la red de coautoría en Colombia. Revista de Economía del Rosario, 24(2), 1-39. https://doi.org/10.12804/revistas.urosario.edu.co/economia/a.10471
Luo, Jar-Der (2005). Social network structure and performance of improvement teams. International Journal of Business Performance Management, 7(2), 208-223. https://doi.org/10.1504/IJBPM.2005.006491
Mas-Bleda, Amalia; Makita, Meiko; Mrva-Montoya, Agata; Thelwall, Mike (2022). What makes a book tweet popular? Analysis of the most retweeted content posted by Spanish and non-Spanish book publishers. Revista Española de Documentación Científica, 45(3), e332. https://doi.org/10.3989/redc.2022.3.1904
Mingers, John; Kaymaz, Eren (2019). Normalizing Book Citations in Google Scholar: A Hybrid Cited-side Citing-side Method. Journal of Data and Information Science, 4(2), 19-35. https://doi.org/10.2478/jdis-2019-0007
Neo4j (2022). The Neo4j Graph Data Science Library Manual v2.1. Neo4j Graph Data Platform. https://neo4j.com/docs/graph-data-science/2.1/
Newman, Mark E. (2005). A measure of betweenness centrality based on random walks. Social Networks, 27(1), 39-54. https://doi.org/10.1016/j.socnet.2004.11.009
Ossenblok, Truyken L. B.; Engels, Tim C. E. (2015). Edited books in the Social Sciences and Humanities: Characteristics and collaboration analysis. Scientometrics, 104(1), 219-237. https://doi.org/10.1007/s11192-015-1544-3
Patiño-Díaz, Gustavo A. (2013). Escritura y universidad: guía para el trabajo académico. Bogotá: Universidad del Rosario.
Ponomariov, Branco; Boardman, Craig (2016). What is co-authorship? Scientometrics, 109, 1939-1963. https://doi.org/10.1007/s11192-016-2127-7
Rakaraddi, Appan; Pratama, Mahardhika (2021). Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. 2021 IEEE International Conference on Big Data (Big Data), 4945-4954. Institute of Electrical and Electronics Engineers, Orlando, Florida, USA. https://doi.org/10.1109/BigData52589.2021.9671902
Rodríguez-Gutiérrez, Julieth K.; Gómez-Velasco, Nubia Y. (2017). Redes de coautoría como herramienta de evaluación de la producción científica de los grupos de investigación. Revista General de Información y Documentación, 27(2), 279-297. https://doi.org/10.5209/RGID.58204
Scott, John (2017). Social Network Analysis. Thousand Oaks: SAGE Publications. Retrieved from https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668
Torres-Salinas, Daniel; Robinson-García, Nicolás; Campanario, Juan M.; López-Cózar, Emilio D. (2014). Coverage, field specialisation and the impact of scientific publishers indexed in the Book Citation Index. Online Information Review, 38(1), 24-42. https://doi.org/10.1108/OIR-10-2012-0169
Torres-Salinas, Daniel; Robinson-García, Nicolás; Jiménez-Contreras, Evaristo; López-Cózar, Emilio D. (2012). Towards a “Book Publishers Citation Reports”. First approach using the “Book Citation Index”. Revista española de Documentación Científica, 35(4), 615-624. https://doi.org/10.3989/redc.2012.4.1010
Uddin, Shahadat; Hossain, Liaquat; Rasmussen, Kim (2013). Network Effects on Scientific Collaborations. PLoS ONE, 8(2), e57546. https://doi.org/10.1371/journal.pone.0057546
Vázquez-Miraz, Pedro; Posada Llorente, Marcos R. (2020). Implementación de un plan anual de metas para la mejora de la producción científica en una universidad colombiana. Aspectos positivos y negativos. Revista General de Información y Documentación, 30(2), 457-471. https://doi.org/10.5209/rgid.72821
Verleysen, Frederik T.; Ossenblok, Truyken L. B. (2017). Profiles of monograph authors in the social sciences and humanities: An analysis of productivity, career stage, co-authorship, disciplinary affiliation and gender, based on a regional bibliographic database. Scientometrics, 111(3), 1673-1686. https://doi.org/10.1007/s11192-017-2312-3
Woolhouse, Clare; Albin-Clark, Jo; Shirley, Ian; Webster, Maggie (2020). Collaborative research as community learning in a higher education context, or ‘what would Rod Stewart do?’ Studies in Higher Education, 45(3), 477-491. https://doi.org/10.1080/03075079.2019.1630808
Yan, Erjia; Ding, Ying (2009). Applying centrality measures to impact analysis: A coauthorship network analysis. Journal of the American Society for Information Science and Technology, 60(10), 2107-2118. https://doi.org/10.1002/asi.21128
Ylikoski, Petri; Zahle, Julie (2019). Case study research in the social sciences. Studies in History and Philosophy of Science, 78, 1-4. https://doi.org/10.1016/j.shpsa.2019.10.003
Zornic, Nikola; Bornmann, Lutz; Maricic, Milica; Markovic, Aleksandar; Martic, Milan; Jeremic, Veljko (2015). Ranking institutions within a university based on their scientific performance: A percentile-based approach. El Profesional de la Información, 24(5), 551. https://doi.org/10.3145/epi.2015.sep.05
Zuccala, Alesia; Robinson-García, Nicolás (2019). Reviewing, Indicating, and Counting Books for Modern Research Evaluation Systems. In Springer Handbook of Science and Technology Indicators (pp. 715-728), edited by Wolfgang Glänzel; Henk F. Moed; Ulrich Schmoch; Mike Thelwall. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-02511-3_27
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2023 Adolfo A. Abadía
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.
© Direitos autorais reservados
O material desta publicação pode ser reproduzido sem autorização, desde que o título, o autor e a fonte institucional sejam citados.
O conteúdo publicado na Revista CS é distribuído sob a licença Creative Commons BY-NC 4.0 Attribution/Attribution-NonCommercial 4.0 International.
Você tem o direito de:
Compartilhar — copiar e redistribuir o material em qualquer suporte ou formato.
Adaptar — remixar, transformar, e criar a partir do material.
De acordo com os termos seguintes:
Atribuição — Você deve dar o crédito apropriado , prover um link para a licença e indicar se mudanças foram feitas . Você deve fazê-lo em qualquer circunstância razoável, mas de nenhuma maneira que sugira que o licenciante apoia você ou o seu uso.
NãoComercial — Você não pode usar o material para fins comerciais.
Como Citar
