New approach to the visualization of international scientific collaboration (original) (raw)
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Visual display of international scientific collaboration networks
2006
This study shows visual displays of scientific information from which different aspects of international collaboration may be analyzed. The first aim is to identify the degree of "internationality" of research by highlighting fluxes of knowledge in the form of publications. This allows us, in turn, to identify the main geographical axes, to show the relationships of the analyzed domains with other countries, discovering the relative strength of these relations, and to see how they might affect the visibility of the work on the virtual horizon. Two final applications are foreseen: the detection of significant differences that can help characterize the publishing patterns of a given geographical domain or system of knowledge interchange, and the generation of visualizations that act as interfaces for domain analysis in general.
Thesis: Research network visualization to foster intra-institutional scientific collaboration
Research network visualization to foster intra-institutional scientific collaboration, 2013
Nowadays scientific collaboration has become a necessity for improving research quality and disseminating its results. Researchers interact and create synergy around groups formed explicitly or implicitly (collaboration networks). This thesis proposes the development of a collaboration network visualization tool that summarizes scientific collaboration best practices found in literature. This tool is based on Social Network Analysis techniques, and it is made for recommending the best collaboration options through a weighted potential collaboration metric, which is an integrated score evaluating a set of fields based on the profile of each researcher (prolificacy, connectivity, maturity, expertise areas and keywords). Tecnológico de Monterrey is taken as a case study. First, a set of researchers is delimited, then their detailed info was collected and types of joint work (co-authorship in journal articles, divulge, books) are considered as main relationships. Then, a graph is generated, and recommended investigators are highlighted. And finally, a diagram is presented to each researcher. Consolidated authors or newcomer scientists can found new and potential collaborators, based on keywords coincidences, research areas similarities or closest topic distances. The precision and recall of the suggestions are quantified, the tools usefulness is measured, and also the suggestions and comments of the sample group are listed.
2012
In this work the well known scientometric concepts of bibliographically coupled publications and co-cited references were applied to produce interactive maps of research fronts and knowledge bases of research fields. This article proposes a method and some standardization for the detection and visualization of research fronts and knowledge bases with two and three dimensional graphics inspired by geographical maps. Agglomerations of bibliographically coupled publications with a common knowledge base are identified and graphically represented by a density function of publications per area unit. The research fronts become visible if publications with similar vectors of common citations are associated and visualized as an ensemble in a three dimensional graphical representation as a mountain scenery measured with the help of a spatial density. Knowledge bases were calculated in the same way. Maps similar to the geographic representation of oceans and islands are used to visualize the twodimensional spatial density function of references weighted by individual links. The proposed methodology is demonstrated by publications in the field of battery research.
Aslib Proceedings, 2009
Purpose -The purpose of this paper is to visualize the inter-university and international collaboration networks generated by Spanish universities based on the co-authorship of scientific articles. Design/methodology/approach -The approach takes the form of formulation based on a bibliometric analysis of Spanish university production from 2000 to 2004 as contained in Web of Science databases, applying social network visualization techniques. The co-authorship data used were extracted with the total counting method from a database containing 100,710 papers. Findings -Spanish inter-university collaboration patterns appear to be influenced by both geographic proximity and administrative and political affiliation. Inter-regional co-authorship encompasses regional sub-networks whose spatial scope conforms rather closely with Spanish geopolitical divisions. Papers involving international collaboration are written primarily with European Union and North and Latin American researchers. Greater visibility is attained with international co-authorship than with any other type of collaboration studied. Research limitations/implications -Impact was measured in terms of journals rather than each individual paper. The co-authorship data were taken from the Web of Knowledge and were not compared with data from other databases. Practical implications -The data obtained in the paper may provide guidance for public policy makers seeking to enhance and intensify the internationalization of scientific production in Spanish universities. Originality/value -The Spanish university system is in the midst of profound structural change. This is the first paper to describe Spanish university collaboration networks using social network visualization techniques, covering an area not previously addressed.
Research Evaluation, 2021
In 2015, a multidisciplinary group of academic researchers and extension personnel was awarded a US Department of Agriculture Coordinated Agricultural Project grant. The team’s goal was to understand human decision-making in the context of potential livestock disease outbreaks, investigating the impediments to increased adoption of biosecurity practices by producers from multiple perspectives. Counting publications and presentations was not deemed adequate evidence of growth of interdisciplinary collaboration. Instead, we took a developmental evaluation approach, collecting data to illuminate patterns of interconnectedness across disciplinary boundaries. These data, mapped annually on a baseline framework, reveal the team moving from disciplinary groups with disparate epistemologies and interests to a cohesive interdisciplinary team involved in many unexpected and emergent projects.
Visualizing bibliometric networks
This chapter provides an introduction into the topic of visualizing bibliometric networks. First, the most commonly studied types of bibliometric networks (i.e., citation, co-citation, bibliographic coupling, keyword co-occurrence, and co-authorship networks) are discussed, and three popular visualization approaches (i.e., distance-based, graph-based, and timeline-based approaches) are distinguished. Next, an overview is given of a number of software tools that can be used for visualizing bibliometric networks. In the second part of the chapter, the focus is specifically on two software tools: VOSviewer and CitNetExplorer. The techniques used by these tools to construct, analyze, and visualize bibliometric networks are discussed. In addition, tutorials are offered that demonstrate in a step-by-step manner how both tools can be used. Finally, the chapter concludes with a discussion of the limitations and the proper use of bibliometric network visualizations and with a summary of some ongoing and future developments.
Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective
2019
Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. Country- wise mapping of research contributions revels that, top five countries have ...
Research collaboration plays an important role in scientific productivity and academic innovation. Multiinstitutional collaboration has become a vital approach for integrating multidisciplinary resources and expertise to enhance biomedical research. There is an increasing need for analyzing the effect of multi-institutional research collaboration. In this paper, we present a collaboration analysis pipeline based on research networks constructed from publication co-authorship relationship. Such research networks can be effectively used to render and analyze large-scale institutional collaboration. The co-authorship networks of the Cleveland Clinical and Translational Science Collaborative (CTSC) were visualized and analyzed. SciVal Expert TM was used to extract publication data of the CTSC members. The network was presented in informative and aesthetically appealing diagrams using the open source visualization package Gephi. The analytic result demonstrates the effectiveness of our approach, and it also indicates the substantial growth of research collaboration among the CTSC members crossing its partner institutions.
Visualization of scientific co‐authorship in Spanish universities
Aslib Proceedings, 2009
PurposeThe purpose of this paper is to visualize the inter‐university and international collaboration networks generated by Spanish universities based on the co‐authorship of scientific articles.Design/methodology/approachThe approach takes the form of formulation based on a bibliometric analysis of Spanish university production from 2000 to 2004 as contained in Web of Science databases, applying social network visualization techniques. The co‐authorship data used were extracted with the total counting method from a database containing 100,710 papers.FindingsSpanish inter‐university collaboration patterns appear to be influenced by both geographic proximity and administrative and political affiliation. Inter‐regional co‐authorship encompasses regional sub‐networks whose spatial scope conforms rather closely with Spanish geopolitical divisions. Papers involving international collaboration are written primarily with European Union and North and Latin American researchers. Greater visi...