Abstract

Using visualization techniques based on social networks, this study aims to analyze stem cell research in Spain, as reflected in the Science Citation Index (SCI) database between 1997 and 2010 , divided into three sub-periods. The selected unit of analysis was the KeyWords Plus descriptors (KW+), the unit of measurement was their co-occurrence , and the Pajek and VOSviewer tools were used to generate and display the social networks. The results show two complementary images of research: the static structure, distinguishing between clinical and basic research, and the evolutionary dynamic, analysing both the most established and the emerging lines. The main contribution of this work is to present a methodology for the visualization and detection of the main r esearch lines over time, demonstrating its applicability and its predictability in scientific and geographic domains.

Abstract

The thematic evolution of LIS research in Spanish between 1978 and 2019 is analyzed within the international context. To this end, relevant bibliographic references were retrieved from the Library and Information Science Abstracts (LISA) database, and their titles and abstracts were treated using the latent Dirichlet allocation (LDA) method, a statistical thematic modeling technique. Nineteen thematic sets were found and analyzed, labeled, and systematized in four main areas: processes, information technologies, libraries, and specialized documentations. Next, the results in Spanish were compared with international results obtained previously using the same methodology. In conclusion, LIS literature in Spanish mainly follows the international trends: during the last 50 years, the thematic focus of research has shifted from libraries and informational organizations to users and the development of specific systems and solutions. However, LIS research in Spanish also presents distinct characteristics: the importance of bibliometric research and biomedical documentation; research in the library area; and a certain delay in addressing technological, legal, and educational aspects. Although the selection of LISA articles depends on editorial decisions, the application of LDA to the peer-reviewed literature in Spanish provided results that are consistent with the international global trends, studies on other similar sources, and overall the state of the art.

Abstract

OpenStreetMap (OSM), based on collaborative mapping, has become a subject of great interest to the academic community, resulting in a considerable body of literature produced by many researchers. In this paper, we use Latent Semantic Analysis (LSA) to help identify the emerging research trends in OSM. An extensive corpus of 485 academic abstracts of papers published during the period 2007–2016 was used. Five core research areas and fifty research trends were identified in this study. In addition, potential future research directions have been provided to aid geospatial information scientists, technologists and researchers in undertaking future OSM research. Document type: Article