Determination of Important Parameters for Patent Applications

Marković, Dušan; Petković, Dalibor; Nikolić, Vlastimir; Milovančević, Miloš; Denić, Nebojša

doi:10.22190/fume170511014m

Cited by 5 publications

(2 citation statements)

References 14 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Evaluating collaborative patents helps researchers understand the process of expansion of knowledge [23][24][25]. With the development of the social network analysis method, more research regards network science as an important tool for studying technological collaborations [26].…”

Section: Patent Collaboration Networkmentioning

confidence: 99%

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry

Yuan

Guo

2023

Sustainability

View full text Add to dashboard Cite

As a manifestation of technological innovation achievements, patents reflect the frontier of technological development in the field. The aim of this research is to investigate the spatial evolution of patent collaboration networks and cooperation activities in the Chinese new energy vehicle (NEV) industry. We hypothesize that the higher-order collaboration networks will exhibit the formation of triangle groups centered around core nodes and the emergence of key edges indicating their importance. Key organizations and partners will play a significant role in shaping the future direction of cooperative innovation. The research utilizes data on collaboration patents in the NEV industry in China and constructs higher-order interaction collaboration innovation networks. The spatial evolution of networks and patent cooperation activities are examined using simplex methods. The results indicate that the generalized degree distribution of nodes and edges follows a power-law distribution. Two-dimensional simplex networks gradually form triangle clusters centered on core nodes and key edges. Large companies and research institutes prefer high-depth collaboration, while universities prefer high-breadth collaboration. Furthermore, the development of the new energy vehicle industry has gradually shifted from the eastern region to the central region. In the two-dimensional simplex network, Beijing and Jiangsu play a crucial role as key bridges in fostering stable and deep collaborations. The findings of this study shed light on the spatial evolution of patent collaboration networks and cooperation activities in the Chinese NEV industry. The identification of key organizations and partners, as well as the central positions of certain regions, provides valuable insights for innovation organizations in navigating innovation development and selecting collaboration partners.

show abstract

Section: Patent Collaboration Networkmentioning

confidence: 99%

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry

Yuan

Guo

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Patent data is an open and available data source. In actuality, patent application information provides data concerning the inventors and assignees of technology collaborations and inventive processes [36]. Numerous studies evaluated patents with joint university-industry ownership, or collaborative patents, to measure the development trends of university-industry collaborative (UIC) technologies worldwide [37][38][39].…”

Section: Patent Collaboration Networkmentioning

confidence: 99%

Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

et al. 2019

View full text Add to dashboard Cite

Smart grids (SGs) have been widely recognized as an enabling technology for delivering sustainable energy transitions. SGs have a positive effect on the development of the world economy and society. SG construction plays an important role in responding to global climate change and promoting the sustainable development of the world economy and society. Under such a background, this paper attempts to investigate patent collaborations of the SG field in China. Based on the application data of collaborative patents from State Intellectual Property Office (SIPO) in China, this study employs complex network theory and social network analysis (SNA) method and conducts in-depth research on the patent collaboration network of SG field in China. The trend of patent collaboration was examined, the collaboration network of SG-related patents was investigated, the network characteristics, and the network structure were also explored. The results show that the proportion of enterprises participating in patent collaboration is relatively large for SG field in China, the percentage of collaboration relationships formed by different patent applicants varies greatly, and that the State Grid Corporation of China (SGCC) plays an important role in patent collaboration in SG field currently. It can also be found that patent collaboration is an effective form of cooperative innovation among different entities. Finally, three suggestions are provided in response to the existing problems.

show abstract

An ensemble of shapelet-based classifiers on inter-class and intra-class imbalanced multivariate time series at the early stage

Zhao

Xia

et al. 2018

Soft Comput

View full text Add to dashboard Cite

Determination of Important Parameters for Patent Applications

Abstract: Abstract. This research study is an analysis of patent applications based on

Cited by 5 publications

References 14 publications

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry

An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry

Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

An ensemble of shapelet-based classifiers on inter-class and intra-class imbalanced multivariate time series at the early stage

Contact Info

Product

Resources

About