scholarly journals Technological development trajectory of chromatography: main path analysis based on patent citation network

2020 ◽  
Vol 2 (12) ◽  
Author(s):  
Kang-Il Kim ◽  
YuSen Xu ◽  
Chol-Jun Pak
Keyword(s):  
Path Analysis ◽  
Technological Development ◽  
Citation Network ◽  
Patent Citation ◽  
Main Path ◽  
Main Path Analysis ◽  
Development Trajectory ◽  
Patent Citation Network

scholarly journals Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry

2021 ◽  
Author(s):  
Flavia Filippin
Keyword(s):  
Path Analysis ◽  
Semiconductor Manufacturing ◽  
Manufacturing Industry ◽  
Semiconductor Industry ◽  
Patent Citation ◽  
Technological Trajectories ◽  
Main Path ◽  
Technological Trajectory ◽  
Main Path Analysis ◽  
The Many

AbstractIt has been proposed that main path analysis can be used to identify technological trajectories in patent-citation networks. In this paper, the method is applied to a network composed of one million US patents and eight million citations in order to trace the backbone of the technological trajectory of the semiconductor manufacturing industry. An in depth discussion of the method is presented, focusing on the many parameters that can be adjusted while applying it and on the consequences of adjusting any of them. Moreover, and differently from other papers on the subject, the result of the algorithm is analysed to determine if it indeed represents the most important technological contributions to the trajectory or if it is merely a collection of relevant and connected patents. This is made easier by the fact that the semiconductor industry has a clear and widely known technological trajectory that spans more than 50 years, Moore's law.

scholarly journals Literature Trend Identification of Sustainable Technology Innovation: A Bibliometric Study Based on Co-Citation and Main Path Analysis

2020 ◽  
Vol 12 (20) ◽  
pp. 8664
Author(s):  
Ben Zhang ◽  
Lei Ma ◽  
Zheng Liu
Keyword(s):  
Path Analysis ◽  
Technology Innovation ◽  
Relevant Literature ◽  
Citation Network ◽  
Development Trend ◽  
Research Literature ◽  
Future Research ◽  
Sustainable Technology ◽  
Main Path ◽  
Main Path Analysis

In the past 20 years, there have been increasingly more studies on sustainable technology innovation (STI), possessing a significance for sustainable development. This paper aims to provide a research landscape, since the systematic understanding of STI is still inadequate. Through bibliometric analysis, it explores the literature distribution characteristics and the literature citation network. Based on the relevant literature data in the Web of Science (WOS), the study visually analyzes the development trend, topic distribution, burst literature, and co-citation network of the research literature, and extracts the evolution path of literature citation by using the main path analysis method. Through the analysis of co-citation and main path, 13 clusters in the co-citation network are found, which are further extracted as the main path network containing 82 nodes. Furthermore, this paper summarized the bibliometric landscape and discussed the frontier STI research topics. The comprehensive framework contributes to the understanding of STI themes and identifying future research agenda.

scholarly journals A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2448
Author(s):  
Chi-Yo Huang ◽  
Liang-Chieh Wang ◽  
Ying-Ting Kuo ◽  
Wei-Ti Huang
Keyword(s):  
Decision Making ◽  
Research And Development ◽  
Path Analysis ◽  
Citation Network ◽  
Analytic Network Process ◽  
Analytic Framework ◽  
Main Path ◽  
Main Path Analysis ◽  
Network Process ◽  
Tech Mining

Tech mining is an analytical method of technology monitoring that can reveal technology trends in different industries. Patent databases are the major sources for information retrieval by tech mining methods. The majority of the commercially viable research and development results in the world can be found in patents. The time and cost of research and development can greatly be reduced if researchers properly analyze patents of prior arts. Appropriate analyses of patents also help firms avoid patent infringement while simultaneously developing new products or services. The main path analysis is a bibliometric method which can be used to derive the most dominant paths in a citation network of patents or academic works and has widely been adopted in tracing the development trajectory of a specific science or technology. Even though main path analysis can derive patent citation relationships and the weight associated with some specific arc of the citation network, the weights associated with patents and influence relationships among patents can hardly be derived based on methods of main path analysis. However, these influence relationships and weight can be crucial for defining research and development and patent aggregation strategies. Thus, the authors want to propose a novel analytic framework which consists of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the DEMATEL based Analytic Network Process (DANP) and the main path analysis. The proposed analytic framework can be used to derive the influence relationships and influence weights associated with the patents in a main path. Empirical cases based on the main path of a published work and the patent mining results of nanowire field effect transistors from the database of the United States Patent and Trademark Office will be used to demonstrate the feasibility of the proposed analytic framework. The analytic results of empirical research can be used as a basis for infringement evaluation, patent designing around and innovation.

A structural analysis approach to identify technology innovation and evolution path: a case of m-payment technology ecosystem

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vimal Kumar ◽  
Kuei-Kuei Lai ◽  
Yu-Hsin Chang ◽  
Priyanka Chand Bhatt ◽  
Fang-Pei Su
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Citation Network ◽  
Patent Citation ◽  
Mobile Payment ◽  
Content Type ◽  
Technology Evolution ◽  
Technological Trajectories ◽  
Main Path ◽  
Patent Citation Network

Purpose The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology. Design/methodology/approach This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory. Findings Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services. Originality/value The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

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.

Sign in / Sign up

Export Citation Format

Share Document