Matches in SemOpenAlex for { <https://semopenalex.org/work/W2809664234> ?p ?o ?g. }
- W2809664234 endingPage "807" @default.
- W2809664234 startingPage "795" @default.
- W2809664234 abstract "As one of the most impactful emerging technologies, big data analytics and its related applications are powering the development of information technologies and are significantly shaping thinking and behavior in today's interconnected world. Exploring the technological evolution of big data research is an effective way to enhance technology management and create value for research and development strategies for both government and industry. This paper uses a learning-enhanced bibliometric study to discover interactions in big data research by detecting and visualizing its evolutionary pathways. Concentrating on a set of 5840 articles derived from Web of Science covering the period between 2000 and 2015, text mining and bibliometric techniques are combined to profile the hotspots in big data research and its core constituents. A learning process is used to enhance the ability to identify the interactive relationships between topics in sequential time slices, revealing technological evolution and death. The outputs include a landscape of interactions within big data research from 2000 to 2015 with a detailed map of the evolutionary pathways of specific technologies. Empirical insights for related studies in science policy, innovation management, and entrepreneurship are also provided." @default.
- W2809664234 created "2018-06-29" @default.
- W2809664234 creator A5001841464 @default.
- W2809664234 creator A5019651281 @default.
- W2809664234 creator A5037108851 @default.
- W2809664234 creator A5044544424 @default.
- W2809664234 creator A5062192039 @default.
- W2809664234 date "2019-09-01" @default.
- W2809664234 modified "2023-09-27" @default.
- W2809664234 title "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study" @default.
- W2809664234 cites W1648296995 @default.
- W2809664234 cites W1952553890 @default.
- W2809664234 cites W1973867393 @default.
- W2809664234 cites W1978034499 @default.
- W2809664234 cites W1978394996 @default.
- W2809664234 cites W1978717800 @default.
- W2809664234 cites W1980883082 @default.
- W2809664234 cites W1984567472 @default.
- W2809664234 cites W1993187818 @default.
- W2809664234 cites W1994661242 @default.
- W2809664234 cites W1995200506 @default.
- W2809664234 cites W1997797506 @default.
- W2809664234 cites W2005621660 @default.
- W2809664234 cites W2008420823 @default.
- W2809664234 cites W2013627627 @default.
- W2809664234 cites W2015048928 @default.
- W2809664234 cites W2020762912 @default.
- W2809664234 cites W2020986551 @default.
- W2809664234 cites W2040657851 @default.
- W2809664234 cites W2043306527 @default.
- W2809664234 cites W2055212304 @default.
- W2809664234 cites W2057401327 @default.
- W2809664234 cites W2062900649 @default.
- W2809664234 cites W2066587298 @default.
- W2809664234 cites W2072484262 @default.
- W2809664234 cites W2072692185 @default.
- W2809664234 cites W2074227822 @default.
- W2809664234 cites W2081930221 @default.
- W2809664234 cites W2085090610 @default.
- W2809664234 cites W2109574129 @default.
- W2809664234 cites W2141975087 @default.
- W2809664234 cites W2159299749 @default.
- W2809664234 cites W2173213060 @default.
- W2809664234 cites W2256578089 @default.
- W2809664234 cites W2266752991 @default.
- W2809664234 cites W2586281947 @default.
- W2809664234 cites W2586718163 @default.
- W2809664234 cites W2621121024 @default.
- W2809664234 cites W2626438173 @default.
- W2809664234 cites W2919115771 @default.
- W2809664234 cites W2951709229 @default.
- W2809664234 cites W2963453445 @default.
- W2809664234 cites W3122686994 @default.
- W2809664234 cites W3123115705 @default.
- W2809664234 cites W3124680412 @default.
- W2809664234 cites W916305875 @default.
- W2809664234 doi "https://doi.org/10.1016/j.techfore.2018.06.007" @default.
- W2809664234 hasPublicationYear "2019" @default.
- W2809664234 type Work @default.
- W2809664234 sameAs 2809664234 @default.
- W2809664234 citedByCount "47" @default.
- W2809664234 countsByYear W28096642342019 @default.
- W2809664234 countsByYear W28096642342020 @default.
- W2809664234 countsByYear W28096642342021 @default.
- W2809664234 countsByYear W28096642342022 @default.
- W2809664234 countsByYear W28096642342023 @default.
- W2809664234 crossrefType "journal-article" @default.
- W2809664234 hasAuthorship W2809664234A5001841464 @default.
- W2809664234 hasAuthorship W2809664234A5019651281 @default.
- W2809664234 hasAuthorship W2809664234A5037108851 @default.
- W2809664234 hasAuthorship W2809664234A5044544424 @default.
- W2809664234 hasAuthorship W2809664234A5062192039 @default.
- W2809664234 hasBestOaLocation W28096642341 @default.
- W2809664234 hasConcept C111919701 @default.
- W2809664234 hasConcept C124101348 @default.
- W2809664234 hasConcept C136764020 @default.
- W2809664234 hasConcept C138885662 @default.
- W2809664234 hasConcept C177264268 @default.
- W2809664234 hasConcept C178315738 @default.
- W2809664234 hasConcept C199360897 @default.
- W2809664234 hasConcept C2522767166 @default.
- W2809664234 hasConcept C2778137410 @default.
- W2809664234 hasConcept C41008148 @default.
- W2809664234 hasConcept C41895202 @default.
- W2809664234 hasConcept C56739046 @default.
- W2809664234 hasConcept C75684735 @default.
- W2809664234 hasConcept C79158427 @default.
- W2809664234 hasConcept C98045186 @default.
- W2809664234 hasConceptScore W2809664234C111919701 @default.
- W2809664234 hasConceptScore W2809664234C124101348 @default.
- W2809664234 hasConceptScore W2809664234C136764020 @default.
- W2809664234 hasConceptScore W2809664234C138885662 @default.
- W2809664234 hasConceptScore W2809664234C177264268 @default.
- W2809664234 hasConceptScore W2809664234C178315738 @default.
- W2809664234 hasConceptScore W2809664234C199360897 @default.
- W2809664234 hasConceptScore W2809664234C2522767166 @default.
- W2809664234 hasConceptScore W2809664234C2778137410 @default.
- W2809664234 hasConceptScore W2809664234C41008148 @default.