A Complex Method of Semantic Bibliometrics for Revealing Conceptual Profiles and Trends in Scientific Literature. The Case of Future-oriented Technology Analysis (FTA) Science

Cosmin Holeab (), Mihai Păunică () and Adrian Curaj ()
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Cosmin Holeab: UNESCO Chair on Science and Innovation Policies, SNSPA
Mihai Păunică: The Bucharest University of Economic Studies
Adrian Curaj: POLITEHNICA University of Bucharest and UNESCO Chair on Science and Innovation Policies, SNSPA

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 2, 23-37

Abstract: The aim of this paper is to present a complex bibliometric method based on blending semantic and network analysis that enables the combined operation of complex parametric and non-parametric models, such as structural and loose semantic algorithms together with mathematical and statistical algorithms for dynamic visualization of data. Subsequently, the results of the analysis aim at substantiating the current profile and trends of the academic discipline of Future-oriented Technology Analysis (FTA) – based on the special issues` publications of five scientific journals published after four FTA international conferences (2004 – 2011). As such, the paper will contribute to enabling further scientific dialogue on FTA and moreover enhancing the big picture of FTA research for a better understanding of current approaches and future prospects. We elaborate on the analytical relevance of ‘classic’ bibliometrics (word counting) and semantic analysis focusing on methodological operationalization as we endeavor to expand the current investigative focus and broaden the dialogue on future FTA research and innovative scientometrics.

Keywords: Semantic analysis; Network analysis; Big Data visualization; Bibliometrics; Scientific literature; Future-oriented Technology Analysis (FTA); Conceptual structures; Scientific trends (search for similar items in EconPapers)
JEL-codes: O33 (search for similar items in EconPapers)
Date: 2017
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