scholarly journals Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 145614-145633 ◽  
Author(s):  
Aytug Onan
Author(s):  
Ömer Özgenç ◽  
◽  
Nur Çağlar ◽  
Işıl Ruhi-Sipahioğlu

Global research output grows exponentially each year. This paper attempts to drive meaning out of this big data on two fields of research in architecture. It maps the interaction between the research fields of sustainability in architecture and architectural education through the perspective of bibliometric data analysis and its visualization. Based on the analysis of bibliometric data, it draws and juxtaposes two timelines for the field of sustainable architecture and the field of architectural education. The objective is to propose a retrospective method that can provide insight for a broader understanding of sustainability and its impacts on architectural education. It utilizes VOSviewer, CiteSpace, and Gephi to visualize bibliometric networks, along with Tableau to analyze the number of journal articles and publications published across years. The paper presents initial findings concerning the leading scholars, trends, and patterns of the research areas, milestone events, and dominant studies to point out the significance of the cooperation between research and education fields of the related topic.


Author(s):  
Huameng Gao ◽  
Fan Yang ◽  
Hechao Wang ◽  
Wenxiu Wang
Keyword(s):  

2011 ◽  
Vol 6 (3) ◽  
Author(s):  
Ming Xie ◽  
Chanle Wu ◽  
Yunlu Zhang

Talanta ◽  
2005 ◽  
Vol 67 (3) ◽  
pp. 590-596 ◽  
Author(s):  
P CIOSEK ◽  
Z BRZOZKA ◽  
W WROBLEWSKI ◽  
E MARTINELLI ◽  
C DINATALE ◽  
...  

2020 ◽  
Vol 77 ◽  
pp. 1413-1424
Author(s):  
Ancha Xu ◽  
You-Gan Wang ◽  
Shurong Zheng ◽  
Fengjing Cai

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