Journal ArticleDOI
Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada
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TLDR
It is found that the structure of the co-authorship network of Canadian biotechnology scientists has a significant effect on the knowledge and innovation production, but it produced no impact on the quality of patents generated by these scientists.Abstract:
Many of the novel ideas that lead to scientific publications or yield technological advances are the result of collaborations among scientists or inventors. Although various aspects of collaboration networks have been examined, the impact of many network characteristics on knowledge creation and innovation production remains unclear due to the inconsistency of the conclusions from various research studies. One such network structure, called small world, has recently attracted much theoretical attention as it has been suggested that it can enhance the information transmission efficiency among the network actors. However, the existing empirical studies have failed to provide consistent results regarding the effect of small-world network properties on network performance in terms of its scientific and technological productivity. In this paper, using the data on 29 years of journal publications and patents in the field of biotechnology in Canada, the network of scientists' collaboration activities has been constructed based on their co-authorships in scientific articles. Various structural properties of this network have been measured and the relationships between the network structure and knowledge creation, and quantity and quality of technological performance have been examined. We found that the structure of the co-authorship network of Canadian biotechnology scientists has a significant effect on the knowledge and innovation production, but it produced no impact on the quality of patents generated by these scientists.read more
Citations
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国际刊物《Scientometrics》文献计量研究
TL;DR: In this paper, the authors propose a method to improve the quality of the data collected by the data collection system. But it is difficult to implement and time consuming and computationally expensive.
Journal ArticleDOI
Co-authorship network analysis in health research: method and potential use.
Bruna de Paula Fonseca e Fonseca,Bruna de Paula Fonseca e Fonseca,Ricardo Barros Sampaio,Ricardo Barros Sampaio,Marcus Vinicius de Araújo Fonseca,Fabio Zicker +5 more
TL;DR: The method and potential applications of co-authorship network analysis in health research are reviewed and an overview of the global research network for Chikungunya virus vaccines is exemplified.
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Does country-level R&D efficiency benefit from the collaboration network structure?
TL;DR: The results not only reconfirm that collaboration network structure influences scientific publications at the country level, but also show that the higher SH, DC, CNC, and BC correlate positively with the better future efficiency.
Journal ArticleDOI
Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?
TL;DR: Wang et al. as discussed by the authors constructed a unique dataset based on the Chinese Academy of Sciences' interorganizational research collaboration networks with industries or/and universities, which enables them to build three homogeneous, heterogeneous and hybrid inter-organ organizational research networks as their multi-scenario sample.
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A study on coevolutionary dynamics of knowledge diffusion and social network structure
TL;DR: The bi-directional influences between knowledge transfer and neighborhood adjustment give rise to the coevolution of the network structure and the diffusion of knowledge at the global level, which can be observed during the process of knowledge transfer.
References
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