Σύγκριση μεθόδων

	Tech Mining	Χαρτογράφηση Επιστήμης με Υποβοήθηση bibliometrix
Πεδίο	Science Technology Studies	Επιστημομετρία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	2005	2017
Δημιουργός	Alan L. Porter & Scott W. Cunningham	Massimo Aria & Corrado Cuccurullo (bibliometrix R package)
Τύπος	Text-mining methodology for competitive technical intelligence	Computational bibliometric pipeline
Θεμελιώδης πηγή	Porter, A. L., & Cunningham, S. W. (2005). Tech Mining: Exploiting New Technologies for Competitive Advantage. Wiley. ISBN: 9780471475675	Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
Εναλλακτικές ονομασίες	Technology mining, S&T text mining, Technical intelligence mining	bibliometrix science mapping, R-based science mapping, bibliometrix bibliometric mapping, bibliometrix-driven knowledge mapping
Συναφείς	4	6
Σύνοψη	Tech mining is the text mining of science and technology information—the publication, patent, and proposal databases that record the world's research and invention—to extract competitive technical intelligence. Coined by Alan Porter and Scott Cunningham, it turns large, fielded bibliographic corpora into actionable answers about who is doing what, where, with whom, and along which trajectories. By extracting entities such as authors, institutions, countries, keywords, and assignees and analysing their co-occurrence over time, tech mining profiles emerging technologies, maps research landscapes, and supports R&D management and innovation policy decisions.	bibliometrix-assisted science mapping is a computational approach that uses the bibliometrix R package to retrieve, clean, and analyze large bibliographic datasets, producing structured visual maps of how knowledge in a field is organized, interconnected, and evolving over time. It combines descriptive bibliometrics with network analysis and strategic clustering techniques to reveal intellectual structure, thematic frontiers, and influential actors in a research domain.