Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehens...Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.展开更多
Purpose-The 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 ...Purpose-The 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/approach-The 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.Findings-The 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/implications-This 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/value-This paper aims to identify the topics in which researchers are currently interested,to help scholars to keep abreast of the latest research on PFSs.展开更多
目的:基于专利引文网络探索类器官领域的技术发展主路径。方法:本研究通过构建类器官领域的专利引文网络,采用搜索路径连接数算法(search path link count,SPLC)计算遍历权重,对类器官领域开展主路径分析,探索该领域的技术发展轨迹。结...目的:基于专利引文网络探索类器官领域的技术发展主路径。方法:本研究通过构建类器官领域的专利引文网络,采用搜索路径连接数算法(search path link count,SPLC)计算遍历权重,对类器官领域开展主路径分析,探索该领域的技术发展轨迹。结果:类器官领域共有专利申请2 250项,包含专利引文12 722件;专利申请数量逐年增长,技术开发聚焦于疾病模型、药物筛选、细胞培养及器官芯片等方向。主路径分析显示,全局主路径上专利数量最多,有12件,包含1条技术路线,全局关键路径主路径与全局主路径一致;局部前向主路径上有10件专利,包含1条技术路线;这2条技术路线反映出中国类器官领域的技术发展轨迹,中国技术创新聚焦于基于肿瘤类器官技术的疾病机制研究、基于肺癌类器官模型的疾病机制研究、肺癌类器官模型的开发与优化。局部后向主路径上有9件专利,包含2条技术路线,局部关键路径主路径与局部后向主路径一致;这2条技术路线反映出美国类器官领域的技术发展轨迹,技术创新聚焦于胃肠道类器官培养与疾病模型研究、干细胞驱动的器官功能修复技术、细胞移植与器官再生。结论:本研究通过类器官领域的专利主路径分析,识别技术发展轨迹,从情报学角度为类器官研发提供信息支撑。展开更多
[目的/意义]引文网络的主路径分析可以对特定领域的重要文献进行识别,并能实现主流研究线索提取。文章旨在利用主路径分析方法,对知识图谱的研究路径进行分析,梳理其研究发展的脉络。[方法/过程]文章首先从Web of Science平台获取知识...[目的/意义]引文网络的主路径分析可以对特定领域的重要文献进行识别,并能实现主流研究线索提取。文章旨在利用主路径分析方法,对知识图谱的研究路径进行分析,梳理其研究发展的脉络。[方法/过程]文章首先从Web of Science平台获取知识图谱领域的研究论文,然后利用HistCite软件生成文献的直接引证网络,再将数据导入到Pajek中,生成该数据集的多条主路径,并结合主路径上论文的内容进行定性分析。[结果/结论]通过主路径分析,可以快速识别出知识图谱领域的一些主路径,如知识图谱的构建、知识图谱在推荐和问答等应用场景中的研究、知识图谱在制造业等特定应用领域的应用研究,折射出知识图谱技术的发展脉络和研究方向。综述性研究在知识图谱领域的发展中扮演了重要角色,为领域内的深入研究提供了基础和方向。展开更多
Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algo...Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.展开更多
基金supported by the National Statistical Science Research Project of China(No.2024LY021).
文摘Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.
基金the financial support by the Natural Science Foundation of Zhejiang Province(No.LQ20G010001)China Postdoctoral Science Foundation(2020M673195)National Natural Science Foundation of China(No.71671165).
文摘Purpose-The 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/approach-The 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.Findings-The 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/implications-This 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/value-This paper aims to identify the topics in which researchers are currently interested,to help scholars to keep abreast of the latest research on PFSs.
文摘[目的/意义]引文网络的主路径分析可以对特定领域的重要文献进行识别,并能实现主流研究线索提取。文章旨在利用主路径分析方法,对知识图谱的研究路径进行分析,梳理其研究发展的脉络。[方法/过程]文章首先从Web of Science平台获取知识图谱领域的研究论文,然后利用HistCite软件生成文献的直接引证网络,再将数据导入到Pajek中,生成该数据集的多条主路径,并结合主路径上论文的内容进行定性分析。[结果/结论]通过主路径分析,可以快速识别出知识图谱领域的一些主路径,如知识图谱的构建、知识图谱在推荐和问答等应用场景中的研究、知识图谱在制造业等特定应用领域的应用研究,折射出知识图谱技术的发展脉络和研究方向。综述性研究在知识图谱领域的发展中扮演了重要角色,为领域内的深入研究提供了基础和方向。
文摘Objective To study the key technologies in the field of ginsenosides and to offer a guide for the future development ginsenosides through the main path identification method based on genetic knowledge persistence algorithm(GKPA).Methods The global ginsenoside invention authorized patents were used as the data source to construct a ginsenoside patent self-citation network,and to identify high knowledge persistent patents(HKPP)of ginsenoside technology based on the GKPA,and extract its high knowledge persistence main path(HKPMP).Finally,the genetic forward and backward path(GFBP)was used to search the nodes on the main path,and draw the genetic forward and backward main path(GFBMP)of ginsenoside technology.Results and Conclusion The algorithm was applied to the field of ginsenosides.The research results show the milestone patents in ginsenosides technology and the main evolution process of three key technologies,which points out the future direction for the technological development of ginsenosides.The results obtained by this algorithm are more interpretable,comprehensive and scientific.
