Author: VPInstitute

  • Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research

    Highlights Data-driven clustering approach to group topics with high accuracy Similarity measure approach to trace the interaction between topics in time series Analyzing changes of TFIDF values of related topics to predict future trends Technology Roadmapping to blend historical analysis and expert-based forecasting The number and extent of current Science, Technology & Innovation topics are…

  • BIBLIOMETRICAL ANALYSIS OF YANGTZE RESEARCH BASED ON WEB OF SCIENCE FROM 1900 TO 2012

    In order to reveal the Yangtze research’s hotspot and development, we chose Web of Science as the data source, using the bibliometric method and Thomson Data Analyzer (TDA), and conducted a quantitative analysis on the number of published papers, countries, institutions, authors, journals, subjects and keywords. The result shows that (1) the Yangtze research could…

  • Chinese energy and fuels research priorities and trend: A bibliometric analysis

    This study aims to summarize an overview of Chinese energy and fuels research using comprehensive bibliometric analysis measures based on data extracted from the Science Citation Index Expanded database from 1993 to 2012. Keyword analysis was used to assess and evaluate the priorities, topics and topic shifts using the Thomson Data Analyzer (TDA). In particular,…

  • Semantic-Based Technology Trend Analysis

    Technology trend analysis offers a flexible instrument to understand both opportunity and competition for emerging technologies. Semantic information is used in Science, Technology & Innovation (ST&I) records which makes the technology trend analysis more challenging. This paper proposes a semantic-based approach for technology trend analysis through emphasizing Subject-Action-Object (SAO) structure, It also applies the trend…