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1.
Chinese Traditional and Herbal Drugs ; (24): 1481-1488, 2018.
Article in Chinese | WPRIM | ID: wpr-852128

ABSTRACT

Discrete industry is different from the complex industry, the patent citation between enterprises is the main channel of its dominant knowledge flow. In order to help the enterprises to find the imitative innovation objects and the investors to evaluate the value of the listed companies in the discrete industries, this study took the Chinese materia medica listed companies as the research samples, first used the social network analysis method to construct the visual flow chart of knowledge flow, then the K-means clustering was carried out by using the degree centrality and the betweenness centrality of the network graph, and the type of knowledge flow was divided and summarized. Finally, based on the previous classification of the main body, the binary logistic regression was adopted to explore the influence of patent factors and business factors on the knowledge flow from two dimensions of knowledge outflow and inflow. The results showed that enterprise age, technology width, enterprise scale and R & D investment had a significantly positive correlation with the knowledge outflow; The knowledge inflow was positively relative with R & D investment and the number of claims, while with significantly negative correlation with the enterprise age, technology width, scientific relevance and technical concentration.

2.
Journal of Medical Informatics ; (12): 43-48, 2017.
Article in Chinese | WPRIM | ID: wpr-512149

ABSTRACT

Based on previous research on the knowledge network,the paper summarizes the relevant research on the concept evolution,structure,model,evaluation index and practical application of the knowledge network based on the literature carrier,and provides reference for knowledge management and scientific innovation management.

3.
Chinese Journal of Medical Library and Information Science ; (12): 1-5, 2014.
Article in Chinese | WPRIM | ID: wpr-457732

ABSTRACT

The characteristics of knowledge exchange in medical field of China were analyzed by social network analysis with the medical data covered in CNKI Citation Database as its study object, which showed that both the inflow and outflow volumes of clinical medicine are the largest and form the core in knowledge exchange network, preclinical medicine is the theoretical base of other medical subjects and the important knowledge source in medical networks, the interchange is close between traditional Chinese medicine, surgery and other clinical subjects, oncology is rather active in interdisciplinary studies, the interchange between stomatology and psychology is rather rare with other clinical subjects in knowledge networks and stomatology and psychology are two independent subjects.Carrying out information push service for these subjects by making use of their characteristics can improve the targeted information service, step up the knowledge exchange between different medical subjects, and promote the cooperative interdis-ciplinary studies.

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