Category: Science mapping
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Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification
The delineation of coordinates is fundamental for the cartography of science, and accurate and credible classification of scientific knowledge presents a persistent challenge in this regard. We present a map of Finnish science based on unsupervised-learning classification, and discuss the advantages and disadvantages of this approach vis-à-vis those generated by human reasoning. We conclude that…
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Patent overlay maps: Spain and the Basque Country
This study uses the new global patent map developed by Kay et al. (2014) to reflect the patenting activity of Spain together with the activity of the Basque Country, a highly industrialised region in Spain, for the time interval 2000-2006. The global patent map reflects the technology categories where a patent could be categorised according…
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Visualization of knowledge integration in a Japanese cutting edge research institution: A multi level bibliometric perspective
The complexity of the problems facing society, such as health care, mobility, or environment, call for solutions cutting across different disciplines. This lies at the heart of interdisciplinary research. Interdisciplinarity has been strongly promoted worldwide over the recent years. For the case of Japan, a prominent example is the WPI (World Premier International Research Center)…
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Strategic Intelligence on Emerging Technologies: Scientometric Overlay Mapping
This paper examines the use of scientometric overlay mapping as a tool of ’strategic intelligence’ to aid the governance of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on technological emergence across the geographical, social, and cognitive spaces. To do so, we longitudinally analyse (with publication and patent…
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Graphene Research and Enterprise: Mapping Innovation and Business Growth in a Strategic Emerging Technology
This paper presents the results of research to develop new data sources and methods that can be combined with existing information for real-time intelligence to understand and map enterprise development and commercialisation in a rapidly emerging and growing new technology. As a demonstration case, the study examines enterprise development and commercialisation strategies in graphene, focusing…
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An overview of animal science research 1945–2011 through science mapping analysis
The conceptual structure of the field of Animal Science (AS) research is examined by means of a longitudinal science mapping analysis. The whole of the AS research field is analysed, revealing its conceptual evolution. To this end, an automatic approach to detecting and visualizing hidden themes or topics and their evolution across a consecutive span…
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Biological Diversity in the Patent System
Biological diversity in the patent system is an enduring focus of controversy but empirical analysis of the presence of biodiversity in the patent system has been limited. To address this problem we text mined 11 million patent documents for 6 million Latin species names from the Global Names Index (GNI) established by the Global Biodiversity…
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Synthetic Biology: Mapping the Scientific Landscape
This article uses data from Thomson Reuters Web of Science to map and analyse the scientific landscape for synthetic biology. The article draws on recent advances in data visualisation and analytics with the aim of informing upcoming international policy debates on the governance of synthetic biology by the Subsidiary Body on Scientific, Technical and Technological…
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An Informetric Profile of Water Resources Management Literatures
The main purpose of this paper is to evaluate the global performance and to assess the current trends in research of water resource management. The methods of informetric analysis were used to survey water resource management related articles in the Science Citation Index (SCI) and Social Science Citation Index (SSCI) during the past decades.
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Facilitating social and natural science cross-disciplinarity: Assessing the human and social dynamics program
Research that integrates the social and natural sciences is vital to address many societal challenges, yet is difficult to arrange, conduct, and disseminate. This article analyses the cross-disciplinary character of the research supported by a unique US National Science Foundation program on Human and Social Dynamics (HSD).