Optimization of scientific publications clustering with ensemble approach for topic extraction

Al-Betar, Mohammed Azmi; Abasi, Ammar Kamal; Al‐Naymat, Ghazi; Arshad, Kamran; Makhadmeh, Sharif Naser

doi:10.1007/s11192-023-04674-w

Cited by 8 publications

(4 citation statements)

References 72 publications

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“…This study uses number of occurrences concerning research topics in scientific documents of main quantum technologies given by: Quantum Imaging, Quantum Meteorology, Quantum Sensing In particular, the study analyzes the number of occurrences concerning research topics (indicated as number of keywords) in scientific documents of just mentioned quantum technologies over time (Glänzel and Thijs, 2012;Al-Betar et al, 2023;Zhang et al, 2023). Another measure used is the period of time from first available scientific document to 2023 to associate technological analysis to the temporal dimension (chronos).…”

Section: Measures Sample and Sources Of Datamentioning

confidence: 99%

Variability in Research Topics Driving Different Technological Trajectories

Coccia

2024

Preprint

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Variability is the predisposition of phenomena to assume different values over time. Variability is higher when the differences of cases from each other are larger or diverge from a specific value, such as arithmetic mean. This study focuses on the variability of research topics within and between research fields to explain, whenever possible, how the variability shapes the structure and dynamics of technological trajectories. Analysis of variability here applies the entropy and variance decomposition on main research fields in quantum technologies. Empirical evidence shows that variability in research topics is inversely proportional to the age of research fields. Inductive implications are that higher variability in research topics of recent scientific fields is due to uncertain dynamics that generates a heterogeneity of different technological trajectories some of them can growth and develop towards fruitful directions others can be dismissed. Hence the variability seems to be one of the drivers that shapes technological evolution and can provide policy and managerial implications to improve the scientific and technological forecasting that may support appropriate decisions of R&D investments towards promising research fields and technologies.

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Section: Measures Sample and Sources Of Datamentioning

confidence: 99%

Variability in Research Topics Driving Different Technological Trajectories

Coccia

2024

Preprint

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“…Se identificaron artículos que aplicaron la minería de textos en la bibliotecología y la documentación, como el caso del trabajo de Al-Betar et al (2023), quienes aplican la agrupación de documentos en función de la similitud de su contenido para extraer palabras clave de los artículos. También Zhang et al (2023) proponen un modelo para extraer las palabras clave basado en un modelo de gráfico jerárquico semántico.…”

Section: Revisión De Literaturaunclassified

Identificación de las temáticas de investigación del Chocó en la literatura indizada en Scopus

Restrepo-Arango

2024

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El objetivo de esta artículo radica en extraer las temáticas de investigación de los resúmenes y datos bibliográficos de los artículos indexados en la base de datos Scopus y que tienen como objeto de estudio al departamento del Chocó (Colombia). De esta manera, se buscaron las palabras clave Chocó AND Colombia en la base de datos Scopus, se exportaron las referencias bibliográficas a EndNote y se extrajeron los datos de autor(es), título, publicación periódica, volumen, número, año y resumen, se convirtieron en un archivo de texto, se eliminaron referencias y símbolos. La manipulación del archivo en pdf se realizó con la ejecución de preparación del texto, tokenización, lematización y obtención de lista de bigrams que se efectuaron en el entorno de desarrollo integrado (EDI) de RStudio. Así, se encontraron 668 registros bibliográficos de documentos indexados en Scopus. Las palabras con el mayor número de frecuencia de aparición: «species», «Colombia», «Chocó», «forest», «pacific», «tropical», etcétera. Se encontraron 89 841 bigrams, entre los que destacan «new species», «pacific coast», «colombian pacific», entre otros. Las colocaciones de palabras muestran que «gold» combina con «mining», «mercury», «platinum», y así sucesivamente. «Chocó» combina con «Colombia», «biogeographical», «rain», «tropical», y demás. «Biodiversity» combina con «conservation», «tropical», «agricultural», etcétera. «Climate» combina con «change», «variability», «basin», y más. Se concluye que las palabras más frecuentes evidencian que hay una preocupación por el estudio de la minería, la biodiversidad, el cambio climático, el bosque tropical, el océano pacífico, entre otros.

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“…In particular, the study analyzes the number of occurrences concerning research topics (indicated as number of keywords) in scientific documents of just mentioned quantum technologies over time (Glänzel and Thijs, 2012;Al-Betar et al, 2023;Zhang et al, 2023). Another measure used is the period of time from first available scientific document to 2023 to associate technological analysis to the temporal dimension (chronos).…”

Section: Measures Sample and Sources Of Datamentioning

confidence: 99%

Law of Variability in Science Driving Technological Evolution

Coccia

2023

Preprint

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A proposed interpretation of the characteristics and causes of the variation in science dynamics for technological evolution is described. The theoretical approach focuses on variability in research topics that guide scientific and technological evolution. Statistical method verifies the proposed approach by applying entropy, measures of dispersion and variance decomposition. The statistical evidence, using data of four main research fields in quantum technologies, suggests the following empirical properties: a) the growth of heterogeneity in research topics is inversely proportional to the age of research fields: recent research fields have a higher variability between topics with uncertainty in evolutionary dynamics, whereas older research fields have a lower variability and more concentration in specific research topics with stable evolution towards clear directions; b) the nature of research fields has a systematic effects in variability guiding the evolution of technologies. The theoretical approach and findings clarify main characteristics and causes of the evolution of science and technologies considering the underlying homogeneity or heterogeneity in research topics, providing main implications to improve the scientific and technological forecasting that may support appropriate R&amp;D investments towards promising research fields and technologies

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Optimization of scientific publications clustering with ensemble approach for topic extraction

Cited by 8 publications

References 72 publications

Variability in Research Topics Driving Different Technological Trajectories

Variability in Research Topics Driving Different Technological Trajectories

Identificación de las temáticas de investigación del Chocó en la literatura indizada en Scopus

Law of Variability in Science Driving Technological Evolution

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