Main path analysis on cyclic citation networks

2020 ◽  
Vol 71 (5) ◽  
pp. 578-595 ◽  
Author(s):  
Xiaorui Jiang ◽  
Xinghao Zhu ◽  
Jingqiang Chen
Keyword(s):  
Path Analysis ◽  
Citation Networks ◽  
Main Path ◽  
Main Path Analysis

scholarly journals Intermediacy of publications

2020 ◽  
Vol 7 (1) ◽  
pp. 190207 ◽  
Author(s):  
Lovro Šubelj ◽  
Ludo Waltman ◽  
Vincent Traag ◽  
Nees Jan van Eck
Keyword(s):  
Path Analysis ◽  
Scientific Knowledge ◽  
Historical Development ◽  
Citation Network ◽  
Citation Networks ◽  
Scientific Publications ◽  
Main Path ◽  
Main Path Analysis ◽  
Definition Of ◽  
Historical Developments

Citation networks of scientific publications offer fundamental insights into the structure and development of scientific knowledge. We propose a new measure, called intermediacy, for tracing the historical development of scientific knowledge. Given two publications, an older and a more recent one, intermediacy identifies publications that seem to play a major role in the historical development from the older to the more recent publication. The identified publications are important in connecting the older and the more recent publication in the citation network. After providing a formal definition of intermediacy, we study its mathematical properties. We then present two empirical case studies, one tracing historical developments at the interface between the community detection literature and the scientometric literature and one examining the development of the literature on peer review. We show both conceptually and empirically how intermediacy differs from main path analysis, which is the most popular approach for tracing historical developments in citation networks. Main path analysis tends to favour longer paths over shorter ones, whereas intermediacy has the opposite tendency. Compared to the main path analysis, we conclude that intermediacy offers a more principled approach for tracing the historical development of scientific knowledge.

scholarly journals Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach

2021 ◽  
Vol 18 (3) ◽  
pp. 883
Author(s):  
Xiangcheng Meng ◽  
Alan H. S. Chan
Keyword(s):  
Social Network ◽  
Path Analysis ◽  
Construction Industry ◽  
Occupational Safety ◽  
Future Trends ◽  
Network Approach ◽  
Main Path ◽  
Safety Research ◽  
Main Path Analysis ◽  
Social Network Approach

The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.

scholarly journals A SURVEY OF THE LITERATURE ON ENVIRONMENTAL INNOVATION BASED ON MAIN PATH ANALYSIS

2016 ◽  
Vol 30 (3) ◽  
pp. 596-623 ◽  
Author(s):  
Nicolò Barbieri ◽  
Claudia Ghisetti ◽  
Marianna Gilli ◽  
Giovanni Marin ◽  
Francesco Nicolli
Keyword(s):  
Path Analysis ◽  
Environmental Innovation ◽  
Main Path ◽  
Main Path Analysis

Knowledge diffusion trajectories in the Pythagorean fuzzy field based on main path analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liu Meng ◽  
Zhang Chonghui ◽  
Yu Chenhong ◽  
Ye Yujing
Keyword(s):  
Decision Making ◽  
Path Analysis ◽  
Fuzzy Sets ◽  
Fuzzy Theory ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
The Past ◽  
Main Path ◽  
Main Path Analysis ◽  
Structure Of Knowledge

PurposeThe purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets (PFSs) in the Web of Science (WoS) from 2013 to 2020, to provide a conclusive and comprehensive analysis for researchers in this field, and to provide a study on preliminary understanding of PFSs.Design/methodology/approachThe research topic of Pythagorean fuzzy fields, through keyword extraction and describing the changes in characteristic themes over the past eight years, are firstly examined. Main path analysis, including local and global main paths and key route paths, is then used to reveal the most influential relationships between papers and to explore the trajectory and structure of knowledge transmission.FindingsThe application of Pythagorean fuzzy theory to the field of decision-making has been popular, and combinations of the traditional Pythagorean fuzzy decision-making method with other fuzzy sets have attracted widespread attention in recent years. In addition, over the past eight years, research interest has shifted to different types of PFSs, such as interval-valued PFSs.Research limitations/implicationsThis paper implicates to investigate the growth in certain trends in the literature and to explore the main paths of knowledge dissemination in the domain of PFSs in recent years.Originality/valueThis paper aims to identify the topics in which researchers are currently interested, to help scholars to keep abreast of the latest research on PFSs.

A note on choosing traversal counts in main path analysis

2020 ◽  
Vol 124 (1) ◽  
pp. 783-785
Author(s):  
John S. Liu ◽  
Louis Y. Y. Lu ◽  
Mei Hsiu-Ching Ho
Keyword(s):  
Path Analysis ◽  
Main Path ◽  
Main Path Analysis
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