scholarly journals Analysis of research on metabolic syndrome in cancer survivors using topic modeling and social network analysis

2021 ◽  
Vol 104 (4) ◽  
pp. 003685042110619
Author(s):  
Ji-Su Kim ◽  
Hyejin Kim ◽  
Eunkyung Lee ◽  
Yeji Seo
Keyword(s):  
Metabolic Syndrome ◽  
Network Analysis ◽  
Cancer Survivors ◽  
Topic Modeling ◽  
Specific Antigen ◽  
Future Research ◽  
Metabolic Syndrome Component ◽  
Changing Trends ◽  
Keyword Network ◽  
Research Structure

This study aimed to identify the relationships between the keywords of research on metabolic syndrome in cancer survivors and the entire knowledge research structure, through topic extraction from a macro perspective. From six electronic databases, 918 studies published between 1996 and 2019 were identified and reviewed, and 365 were included. Keyword network analysis and topic modeling were applied to examine the studies. In keyword network analysis, “obesity,” “treatment,” “breast cancer,” “body mass index,” and “prostate cancer” were the major keywords, whereas “obesity” and “breast” were the dominant keywords and ranked high in frequency, degree centrality, and betweenness centrality. In topic modeling, five clustered topics emerged, namely metabolic syndrome component, post CTX(chemotherapy) sequence, prostate-specific antigen-sensitive plot, lifestyle formation, and insulin fluctuation. Topic 2, post CTX sequence, showed the highest salience in earlier studies, but this has decreased over time, and the themes of the studies have also broadened. This study may provide critical basic data for determining the changing trends of research on metabolic syndrome in cancer survivors and for predicting the direction of future research through the visualization of the effects and interactions between the major keywords in research on metabolic syndrome in cancer survivors.

The evolution of wine research

2018 ◽  
Vol 30 (1) ◽  
pp. 286-312 ◽  
Author(s):  
Mark A. Bonn ◽  
Meehee Cho ◽  
Hyemi Um
Keyword(s):  
Network Analysis ◽  
Current Status ◽  
Future Research ◽  
Content Type ◽  
Research Areas ◽  
Network Analytics ◽  
Time Periods ◽  
Keyword Network ◽  
New Research ◽  
Time Frames

Purpose Wine as a research topic continues to address a plethora of diverse contexts. In consideration of this scope and abundance of wine literature, this study aims to provide guidance for future meaningful contributions to this existing body of wine knowledge through a comprehensive scholarly review. Design/methodology/approach A total of 22 wine business, hospitality and tourism journals were selected and used to identify 739 refereed articles addressing wine-related topics over a 26-year period from 1990 to 2015. This was segmented using five wine research time frames, which were then separately investigated using content analysis and keyword network analysis. Findings Results support the importance for continued refinement of certain research areas to add understanding to wine research. In particular, the topics of marketing and tourism pertaining to wine research have fragmented into much more specialized sub-segments over this 26-year period. Research limitations/implications Limitations include generalizability of findings because of the study’s use of 22 journals, along with the selected 26-year period. Future research should examine other time periods using other publications in peripheral and in non-related areas to seek topics potentially and inadvertently overlooked by this process. Significant topics and trends regarding wine research were identified and classified according to time periods. Information has been provided for future directions and new research agendas. Originality/value Based upon an examination of time periods segmented by half-decades, keyword network analysis was used to explore wine research trends. Using keyword network analytics, this method for identifying networks between key words produced findings that have brought the literature regarding wine research to a current status allowing academics to gain insights into potential direction for future research needs.

Exploring the knowledge structure of Korean physical activity research using topic modeling and keyword network analysis

2021 ◽  
pp. 1-7
Keyword(s):  
Physical Activity ◽  
Network Analysis ◽  
Topic Modeling ◽  
Knowledge Structure ◽  
Current Status ◽  
Measurement Tool ◽  
Validity And Reliability ◽  
Important Indicator ◽  
Research Fields ◽  
Keyword Network

Background and purpose: Information on topics and knowledge structures is an important indicator of trends, prospects and sustainability in research fields. Although many studies on physical activity (PA) have been published in Korea, no studies have been reported to explain knowledge structure (KS) and keyword topics. Therefore, this study intends to analyze and explain PA-related studies. Research method: In this study, topic modeling and keyword network analysis were applied to explore the KS of domestic PA-related studies published in domestic journals. 83 journals and 782 studies published from 1996 to June 2019 were collected, and 5441 key research keywords were used as data. Results and Conclusions: Analyzing the study of physical activity in Korea, first, it is a study that reports the PA level of students from an educational point of view. Second, it is a study that verified the validity and reliability of the measurement tool. Third, a study reporting the psychological and behavioral characteristics of PA participants. Fourth, studies promoting PA participation in subjects with disabilities. Fifth, research on key topics of health and obesity is ongoing. This study can be used as basic data to explore the current status of global PA research by providing information on major themes, keywords, and trends of domestic PA research.

Sign in / Sign up

Export Citation Format

Share Document