Líneas de Investigación > SCIENTIFIC COLLABORATION
El grupo Scimago trabaja en el desarrollo de sistemas de información y técnicas de visualización de la información científica que posibiliten el acceso, evaluación, recuperación y análisis de la información.
Fruto de este trabajo se han diseñado nuevas herramientas y representaciones basadas en copublicaciones que se presentan en una serie de trabajos.En algunos de ellas, el formato de visualización es svg. Para una correcta navegación use Internet Explorer con Adobe SVG
INTERNATIONAL COLLABORATION NETWORKS
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International Collaboration in Medical Research in Latin America and the Caribbean (2003-2007)
Source: Journal of the American Society for Information Science and Technology (in press)
Authors: Zaida Chinchilla-Rodríguez, María Benavent-Pérez, Sandra E. Miguel y Félix de Moya-Anegón.
Abstract: This paper characterises the patterns of international medical research in Latin America. The objective is to ascertain countries' capacity to establish intra- and extra-regional scientific collaboration. The methodology used combines bibliometric techniques and social network analysis. Publication patterns are characterised by production volume, specialisation, visibility and collaboration. The results show the recent increase in Latin American medical research production and citations has raised the region’s presence and participation in the international scientific arena. Although this growth is partly associated with the inclusion of new journals in the Scopus database, the rise in the number of medical research papers has doubled the overall increase. When output is broken down by inter- and extra-regional collaboration, the growth rate proves to be slightly higher for the former than the latter. The “scientific dependence” of small or developing countries would explain their high collaboration rates and impact, since their output is essentially marginal and anecdotal. Hence the term “satellite countries.” Advanced countries account for most of the world’s output and citations. Assuming that impact (citations per paper) reflects the use made by researchers of previously generated knowledge, the evidence shows that the major producers use the knowledge generated by their own or neighbouring countries. This would explain why impact is so highly concentrated in the most productive regions. The need to incentivise intra-regional relationships must be stressed, but without establishing boundaries, i.e., international initiatives should also be supported. The possible influence of geographic, idiomatic and cultural proximity is likewise identified. Lastly, the conclusions are discussed, along with proposals for future research.
Keywords: Latin America, medicine, scientific collaboration, social network analysis, co-authorship, hybrid indicators.
Figure 6. Scientific collaboration network between Latino-american countries according to the number of neighbors. Year 2003.
Figure 7. Scientific collaboration network between Latino-american countries according to the frecuency of co-authorship. Year 2003.
Figure 8. Scientific collaboration network between Latino-american countries according to the frecuency of co-authorship. Year 2003.
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Source: Journal of the American Society for Information Science and Technology
Authors: Bárbara Lancho-Barrantes, Vicente Guerrero-Bote Zaida Chinchilla-Rodríguez y Félix de Moya-Anegón.
Abstract: Domestic citation to papers from the same country and the greater citation impact of documents involving international collaboration are two phenomena that have been extensively studied and contrasted. Here, however, we show that it is not so much a national bias, but that papers have a greater impact on their immediate environments, an impact that is diluted as that environment grows. For this reason, the greatest biases are observed in countries with a limited production. Papers that involve international collaboration have a greater impact in general, on the one hand, because they have multiple “immediate environments,” and on the other because of their greater quality or prestige. In short, one can say that science knows no frontiers. Certainly there is a greater impact on the authors' immediate environment, but this does not necessarily have to coincide with their national environments, which fade in importance as the collaborative environment expands.
Lancho-Barrantes, B. S., Guerrero-Bote, V. P., Chinchilla-Rodríguez, Z., Moya-Anegón, F. Citation Flows in the Zones of Influence of Scientific Collaborations. Journal of the American Society for Information Science and Technology, 63 (3): 481-489, March 2012. DOI: 10.1002/asi.21682
- New approach to the visualization of international scientific collaboration.
Source: Information Visualization (2010) 9, 277-287. doi:10.1057/ivs.2009.31
In this study, visual representations are created in order to analyze different aspects of scientific collaboration at the international level. The main objective is to identify the international facet of research by following the flow of knowledge as expressed by the number of scientific publications, and then establish the main geographical axes of output, showing the interrelationships of the domain, the intensity of these relations, and how the different types of collaboration are reflected in terms of visibility. Thus, the methodology has a twofold application, allowing us to detect significant differences that help characterize patterns of behaviour of a geographical system of output, along with the generation of representations that serve as interfaces for domain analysis and information retrieval.
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Chinchilla-Rodríguez, Z., Vargas-Quesada, B., Hassan-Montero, Y., González-Molina, A., Moya-Anegón, F. New approach to the visualization of international scientific collaboration. Information Visualization, 9 (4): 277-287, Winter 2010. DOI: 10.1057/ivs.2009.31
- Visualization of networks of international collaboration
Este estudio se presentó en la I International Conference on Multidisciplinary Information Sciences & Technologies
Se muestran representaciones visuales de la información científica a partir de las cuales, se pueden analizar
diferentes aspectos sobre la colaboración internacional.
El objetivo es: identificar la vertiente más internacional de la
investigación siguiendo los flujos de conocimiento a partir de las publicaciones, establecer los principales ejes geográficos,
mostrar las relaciones del dominio analizado con otros países, con cuáles de ellos se relaciona más, en qué medida y cómo
repercuten estas relaciones en términos de visibilidad según los distintos tipos de colaboración.
Su aplicación es doble:
detectar diferencias relevantes que sirvan para caracterizar los patrones de comportamiento de cada uno de ellos o del sistema
del que pueden formar parte, y la generación de representaciones que actúen como interfaces para el análisis de dominio.
INTER-INSTITUTIONAL COLLABORATION NETWORKS
- R&D collaboration in 50 major Spanish companies.
Aslib Proceedings, 63 (1): 5-27, January 2011
Abstract:
Purpose – Although the role of enterprise in R&D is broadly acknowledged, few attempts have been made to gather data for analyzing the nature and scope of private sector collaboration. This study aims to deliver empirical results based on quantitative data to gain insight into the role of private enterprise as an indispensable actor in scientific development and innovation.
Design/methodology/approach – The study aimed to deliver empirical results based on quantitative data to gain insight into the role of private enterprise as an indispensable actor in scientific development and innovation. To this end, an analysis was conducted of the contribution made by Spanish business, focusing on the 50 most active companies in terms of internationally visible scientific output, from three perspectives.
Findings – The findings provide insight into business involvement in the R&D system based on: research papers published; national, international and sectoral collaboration patterns; structural patterns; and the identification of the most prominent companies from a systematic comparison of their research results and their position in the resulting collaboration network.
Research limitations/implications – Bibliometric analyses do not measure all types of publications. Indicators are usually based on data in the Thomson Reuters databases, which are regarded as being representative of peer-reviewed, publicly accessible papers with high international visibility and impact. The Thomson Reuters databases feature a series of advantages that make them indispensable for studies on scientific collaboration.
Originality/value – One of the core ideas of this study is the emphasis on the essential role of collaboration in improving scientific results, as borne out by the correlation between the clustering coefficient and the hybrid indicators. The findings also provide proof of the success of strategies for institutional collaboration. The foregoing shows that the application of hybrid indicators to institutional aggregates yields novel results not explored in preceding studies.
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Perianes-Rodríguez, A., Olmeda-Gómez, C., Ovalle-Perandones, M. A., Chinchilla-Rodríguez, Z., Moya-Anegón, F. R&D collaboration in 50 major Spanish companies. Aslib Proceedings, 63 (1): 5-27, January 2011
- Inter-institutional scientific collaboration: an approach from social network analysis.
Prime Europe-Latin American Conference on Science and Innovation Policy 2008.
The analysis of scientific systems looks beyond fragmented individual results to take in
the panorama of production; and its characterization should therefore reflect the behaviour
of aggregate components (institutions, sectors, autonomous communities, countries) as a
by-product of participation in structured social relations. It is clearly beneficial to view
and analyze the different levels (Laranja, Uyarra and Flanagan, 2007) that participate in
the generation of knowledge and innovation, sometimes overlapping, sometimes active on
more than one stage.
This paper presents a tool that can be used to characterize, analyze and interpret the
patterns of collaboration among institutions by means of the visual display of scientific
information. These graphic representations allow for a combined analysis of a given
institution in the system of relations (network), and of the particular attributes of that
institution (indicators). The tool affords the possibility of regenerating the network to
make any number of aggregates appear or disappear, thus allowing one to focus on
institutional sectors, geographic regions, etc. It also allows for analysis of sectorial
interaction, institutional backing of research, and the influence of geographic proximity,
linguistic affinity, or regional politics. This is indeed a versatile analytical tool, and it is
bound to prove its potential for evaluating patterns of collaborative research, development
and innovation.
See the Interinstitutional Collaboration Network for the Agriculture field in Spain (1995-1996)
- Galicia (ISI-WoS, 2004): Patrones de Colaboración Científica
Source: bugalicia - Consorcio de Bibliotecas Universitarias de Galicia
El estudio trata de contribuir a la caracterización y análisis de las actividades de I+D en Galicia, siguiendo una continuidad con la edición anterior. En esta
nueva edición el estudio presenta datos básicos de producción desagregados por campos temáticos, pero su verdadero potencial reside en el análisis de las redes de colaboración tanto a nivel institucional como internacional.
Descargar el informe completo
COLLABORATION NETWORKS IN SUBJECT FIELDS
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Blockmodeling of co-authorship networks in library and information science in Argentina: A case study
Authors: Zaida Chinchilla-Rodríguez, Sandra E. Miguel, Anuska Ferligoj, Luka Kronneger y Félix de Moya-Anegón
Abstract:
The paper introduces the use of blockmodeling in the micro-level exploration of the internal structure of co-authorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors' role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The results were examined to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how the application might be used to study research group composition, structure and dynamics. The approach involves combining bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. The contributionof the paper is more on methodology than the conclusions drawn from the data. Its description of a small-scale case study is intended as an example for application and can be used in other disciplines. It may be very useful for the appraisal of scientific developments.
Keywords:
Scientific collaboration – Bibliometrics – Blockmodeling - Social network analysis
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Analysis and visualization of the dynamics of research groups in terms of projects and coauthored publications. A case study of Library and Information Science in Argentina
Authors: Sandra E. Miguel, Zaida Chinchilla-Rodríguez, Claudia M. González y Félix de Moya-Anegón
Abstract:
Objective: The present study offers a novel methodological contribution to the study of the configuration and dynamics of research groups, through a comparative perspective in terms of the projects funded (inputs) and publication coauthorships (output).
Method: A combination of bibliometric techniques and social network analysis was applied to a case study: the Department of Library Sciences of the Universidad Nacional de La Plata, Argentina, for the period 2000-2009. The results were interpreted statistically as well as by staff members of the department, by interview, in order to demonstrate the potential of the method.
Results: The method makes it possible to distinguish groups, identify their members and reflect group make-up through an analytical strategy that involves the categorization of actors and the interdisciplinary and national or international projection of the networks that they configure. The integration of these two aspects —input and output— at different points in time over the analyzed period leads to inferences about group profiles and the roles of actors.
Conclusion: The methodology presented is conducive to micro-level interpretations in a given area of study, regarding individual researchers or research groups. Because the comparative input-output analysis broadens the base of information and makes it possible to follow up, over time, individual and group trends, it may prove very useful for the management, promotion and evaluation of science.
Keywords:
Scientific collaboration – Research groups – Bibliometrics – Social Network Analysis – Hybrid indicators - Input/Output indicators
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Source: Revista Interamericana de Bibliotecología, 33(1): 105-123, enero-junio 2010
Authors: Vargas-Quesada, B., Minguillo, D., Chinchilla-Rodríguez, Z., Moya-Anegón, F.
Abstract: Based on documents filed in the Scopus database between 1999 and 2007, this paper identifies, displays, and analyzes the main structures of scientific collaboration by authors in the library and information sciences in Spain. We apply techniques of similarity, techniques of social network analysis, like K-core, bibliometric procedures, such as author co-occurrence and an analysis of the frequency of terms in order to explore the communities of collaboration (subnets) that make up the most important components in this area.
Through this we identify 21 components composed of 28 subnets that reveal the micro-structure of a network of scientific collaboration. The network showed collaboration that was centralized in a few components. This collaboration originated in the research sector and included information retrieval and information management. This paper highlights the limited cooperation between subnets in which institutional and geographical proximity play an important role and which have scientific production and evaluation as common fronts of collaboration. The methodology used manages to present an overview of the main collaborative scientific structure of authors in Spain during the time period under study.
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ANALYSIS AND VISUALIZATION OF COLLABORATION NETWORKS
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Source: ACIMED: Revista Cubana de Información en Ciencias de la Salud
Abstract: Cada vez y con mayor frecuencia, desde las esferas políticas y económicas, se hace referencia a la colaboración científica como una de las prácticas a fomentar, por las enormes ventajas que supone para la generación de conocimiento científico y el
desarrollo en general de las actividades de ciencia, tecnología e innovación.
Este es, justamente, el marco en el que se desarrolla este trabajo, el de la colaboración científica y el tema que aborda. Su título "Redes de colaboración científica: análisis y visualización de patrones de coautoría" es suficientemente ilustrativo y explícito, y hace justa referencia a lo que el lector encontrará en él. Desde el punto de vista del análisis de los resultados de investigación, la adecuada combinación del análisis bibliométrico con técnicas de análisis de redes sociales y
visualización de información, junto a su claridad expositiva, convierten esta obra en manual de obligada referencia para el estudio de esta demandada práctica de comunicación científica.
Chinchilla-Rodríguez, Z. Redes de colaboración científica: análisis y visualización de patrones de coautoría (Antonio Perianes-Rodríguez, Carlos Olmeda-Gómez y Félix De-Moya-Anegón)”. Reseña de libro. ACIMED: Revista Cubana de Información en Ciencias de la Salud, Vol. 21, No 4 (2010)
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