scholarly journals Analysis of Scientific Publications from Turkey in Dermatology: Social Network Analysis, Text Mining, and Clustering

2019 ◽  
Author(s):  
Kemal Hakan GÜLKESEN
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Scientific Publications

scholarly journals Women and universities in El País (1977-2011): A methodological proposal for use of the ITCS for historical analysis

2019 ◽  
Vol 8 (1) ◽  
pp. 009
Author(s):  
Carlos G. Figuerola ◽  
Tamar Groves ◽  
Francisco J. Rodríguez
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Historical Analysis ◽  
Historical Research ◽  
Software Systems ◽  
Practical Case ◽  
Computer Tools ◽  
Analysis Techniques

The practice of historical research in recent years has been substantially affected by the emergence of the so-called digital humanities. New computer tools have been appearing, software systems capable of processing vast quantities of information in ways that until recently were inconceivable. Text mining and social network analysis techniques are sophisticated instruments that can help render a more enriching reading of the available data and draw useful conclusions. We reflect on this in the first part of this article, and then apply these tools to a practical case: quantifying and identifying the women who appear in university-related articles in the newspaper El País from its founding until 2011.

scholarly journals The Response of Indonesian STI Actors in the Mitigation of COVID-19

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Maulana Akbar ◽  
Tri Handayani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Community Response ◽  
Research Development ◽  
Scientific Publications ◽  
Research And Innovation ◽  
First Case ◽  
Innovation Product ◽  
Science Community

The COVID-19 pandemic spreads rapidly in Indonesia at the beginning of 2021 that requires quick action from various parties, including the science community. Researchers from Research and Development (R&D) institutions and universities that produce research and innovation products are expected to provide solutions to help accelerate COVID-19 pandemic mitigation in Indonesia. This research aims to map how the STI community response to the COVID-19 pandemic through research in the form of international scientific publications and products resulting from research, development, and innovation. The data were collected from 108 scientific articles from SCOPUS and 127 news articles from COVID-19 consortium products issued by Kemenristek/BRIN. Researchers used social network analysis to show how research networks are formed in producing research and innovation products in the first six months after the first case of COVID-19 in Indonesia.  Even though the study argues that there is the network of relationships formed from research and the products produced is still weak, the key of research and utilized innovation product in collaboration with between global institution and industry.

scholarly journals Carlos Pastore y el Instituto Histórico y Geográfico del Uruguay: redes intelectuales y homenajes en el Centenario de Artigas

2021 ◽  
pp. 353-387
Author(s):  
Matías Borba Eguren
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
La Red

El presente trabajo analiza la participación de Carlos Pastore – intelectual y político paraguayo, exiliado en Montevideo en 1942 – en los homenajes a Artigas, realizados por el Instituto Histórico y Geográfico del Uruguay en 1950. Se busca establecer su papel como articulador entre el Instituto y otros paraguayos – en su mayoría exiliados –, aplicando técnicas del social network analysis y de text mining, para graficar la red político-historiográfica a su alrededor. Se pretende señalar cómo los homenajes a Artigas fueron una oportunidad para los exiliados paraguayos de utilizar el pasado como herramienta de militancia contra la situación política de Paraguay.

Recent Contributions of Data Mining to Language Learning Research

2019 ◽  
Vol 39 ◽  
pp. 93-112 ◽  
Author(s):  
Mark Warschauer ◽  
Soobin Yim ◽  
Hansol Lee ◽  
Binbin Zheng
Keyword(s):  
Data Mining ◽  
Second Language ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Text Mining ◽  
Language Learning ◽  
Second Language Learning ◽  
Empirical Support ◽  
Learning Research

AbstractThis paper will review the role of data mining in research on second language learning. Following a general introduction to the topic, three areas of data mining research will be summarized—clustering techniques, text-mining, and social network analysis—with examples from both the broader field and studies conducted by the authors. The application of data mining in second language learning research is relatively new, and more theoretical and empirical support is needed in the appropriate collection, use, and interpretation of data for specific research and pedagogical objectives. The three examples that we introduce illustrate how new data sources accessible in online environments can be analyzed to better understand the optimal instructional context for corpus-based vocabulary learning (clustering technique), characteristics and patterns of collaborative written interaction using Google Docs (text mining and visualizations), and issues of access and community in computer-mediated discussion (social network analysis). Implications of these new techniques for L2 research will be discussed.

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