The latest developments in Data Science and in advanced Scientometrics set a very challenging context for the analysis and the understanding of Human Behavior towards the design of value adding Library Services and sophisticated Information Systems. In our study we present an innovative research that integrates the creation and the consumption of scientific knowledge across regions. From a human behavior point of view this is significant, since it provides an advanced decision making layer for bringing together researchers from all over the world. More specific, in this paper, we analyze the production and consumption of scientific knowledge across the regions in an important field of “Sustainable and Renewable Energy” – using publications and citations data indexed in Scopus. As a case study, we select the United States, a major producer of scientific publications in the field. At first, we identify the topics produced by the United States. Further, topics produced by the scientific communities (outside the United States) that consume (cite) the knowledge produced by the United States are identified. We generate topics by employing our proposed Topic model with Distance Matrix (TDM) – an extension of classic Latent Dirichlet Allocation (LDA) model.
Our results show that research topics produced by the United States are consumed in different international contexts, interestingly. Consuming the knowledge produced by the United States, Chinese scientific community heavily produces topics related to biomass – to produce renewable energy. In Contrast, Japanese scientific community produces topics related to fuel cell – used for the production of hybrid and electronic vehicles. Whereas, the Taiwanese scientific community shows remarkable competency in solar cells. Among the European nations, while the German scientific community produces topics related to photovoltaic, the French scientific community covers topics related to Energy Storage and Green Chemistry. We believe that such analyses may be helpful in establishing more effective multi-national research collaborations by understating the actual consumption of produced knowledge. Overall, the study provides a new dimension to comprehensively understand production and consumption of knowledge using scientific literature. From a Human Behavior Analysis view in the context of sophisticated Library Systems this is a significant contribution. The use of advanced data mining, and computing methods for deriving critical insights for the use of scientific knowledge is a bold action towards the global
knowledge society vision.
M Qasim, Saeed-Ul Hassan, NR Aljohani, M Lytras, Human Behavior Analysis in the Production and Consumption of Scientific Knowledge across the Regions: A case study based on publications and citations data indexed in Scopus”, Library Hi Tech (in press), Emerald, 2017