Key nodes mining in the inventor–author knowledge diffusion network

Zhang, Guijie; Liu, Luning; Wei, Fangfang

doi:10.1007/s11192-019-03005-2

Cited by 21 publications

(13 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A coauthorship network constitutes a social network in which members share information and knowledge through social interactions (Li et al , 2013). Such networks have been proven to have a positive impact on knowledge creation and knowledge diffusion (Zhang et al , 2019).…”

Section: Methodsmentioning

confidence: 99%

Analysing scientific publications in the field of mobile information systems using bibliometric analysis

Zhang

Wei

Guo

et al. 2022

Self Cite

View full text Add to dashboard Cite

Purpose This paper aims to present a longitudinal and visualising study using bibliometric approaches to depict the emerging trends and research hotspots within the mobile information system domain. Design/methodology/approach Publications included in the Web of Science (WoS) database for 2001–2021 are reviewed and analysed on various aspects through coauthorship, cocitation and co-occurrence analysis. The analyses are conducted using VOSViewer, a scientific visualisation software program. Findings Academic publications related to mobile information systems fluctuated at a low level during the initial part of the 21st century and have grown rapidly in number in the past decade. The USA and China are the leading contributors to these publications and hold dominant positions in the obtained collaboration network. Computer science, engineering and telecommunications are the top three research areas in which mainstream mobile information system research occurs. Moreover, medical informatics and health-care science services have gradually become new research hotspots. Originality/value This study provides a systematic and holistic account of the developmental landscape of the mobile information system domain. This study provides a good basis for analysing the evolution of research in mobile information systems and may serve as a potential foundation for future research.

show abstract

Section: Methodsmentioning

confidence: 99%

Analysing scientific publications in the field of mobile information systems using bibliometric analysis

Zhang

Wei

Guo

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Chinese scholars publish papers in both international and domestic journals (Wang, Chen, Liu, & Hu, ; Xu, Wang, Zhou, & Liu, ; Zhang, Liu, & Wei, ). Many researchers have concluded that it is appropriate to combine both international and domestic databases to measure Chinese research performance (Cui & Zhang, ).…”

Section: Methodsmentioning

confidence: 99%

Measuring the scientific publications of double first‐class universities from mainland China

Wei

Zhang

2020

Learned Publishing

Self Cite

View full text Add to dashboard Cite

This paper reports a comparative study of the scientific publications of double first-class universities based on international and domestic Chinese databases from 2006 to 2018. The main results are as follows. Quantitatively, the absolute total number of articles published by Chinese universities has increased. Specifically, the number of international publications in the natural and social sciences from double first-class universities showed an increasing trend, but the number of domestic journal articles showed the reverse trend. Moreover, based on the number of papers published by each university over the years, we recognized that the ranking changes of universities fall into four categories: rising, declining, stable, and fluctuating. Qualitatively, the international and domestic publications issued by double first-class universities greatly improved from 2006 to 2018. Moreover, scientific publications, either international or domestic, were unevenly distributed among the double first-class universities. In general, the double first-class universities developed rapidly in recent years and play an important role in the development of science and technology in China.

show abstract

“…Many authors explored the interaction of science and technology by applying social network analysis (e.g., Breschi and Catalini 2010;Zhang et al 2019) and clustering techniques (e.g., Chang et al 2010;Zhu et al 2019). In that respect, the calculation of centrality measures and outlining them for author-inventors was the primary interest (e.g., Balconi et al 2004;Zhang et al 2019). Additionally, some researchers used the networks to build maps of keywords (Madani and Weber 2016;Wang et al 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…The analysis of the properties of individual nodes was performed with a set of standard centrality measures (e.g., Borgatti et al 2018;Zhang et al 2019;Breschi and Catalini 2010;Wanzenböck et al 2013). These allow an inference about the position of a particular node in the network as well as about the importance each node has in the network structure (Borgatti et al 2018).…”

Section: Analysis On the Node Levelmentioning

confidence: 99%

Who shapes plant biotechnology in Germany? Joint analysis of the evolution of co-authors’ and co-inventors’ networks

Shkolnykova

2020

Rev Evol Polit Econ

View full text Add to dashboard Cite

The interdependence of science and technology has been of high interest for researchers from different fields for several decades now. As they represent different means of knowledge output protection, patents and research articles generally have different reasons for creation and different audiences. However, some of the inventors may be interested in making an impact on the scientific community and vice versa. This interaction between technology space (patents) and science space (articles) is especially important for high-technology fields, where both research institutions and enterprises play important roles in the innovative environment. This paper investigates the interaction between science and technology in the case of German plant biotechnology. With the help of network analysis tools, the evolution and co-evolution of co-inventors’ and co-authors’ networks for the period 1995–2015 is explored. Finally, the topics of the patents and papers from the overlap were analyzed with the help of text mining tools in order to identify the differences of topics between science/technology and their overlap. As a result, sizable differences in nature and advancement are observed between the two network types. Although the overlap between these spheres of innovative activities increased over time, the role author-inventors played in the science or technology space varied.

show abstract

Key nodes mining in the inventor–author knowledge diffusion network

Cited by 21 publications

References 61 publications

Analysing scientific publications in the field of mobile information systems using bibliometric analysis

Analysing scientific publications in the field of mobile information systems using bibliometric analysis

Measuring the scientific publications of double first‐class universities from mainland China

Who shapes plant biotechnology in Germany? Joint analysis of the evolution of co-authors’ and co-inventors’ networks

Contact Info

Product

Resources

About