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| System Identification,Structural Features and Location Relationship of Network Community |
| Sun Guoqiang,Jia Changjin,Ji Yingdong |
| (School of Management Science and Engineering,Shanxi University of Finance and Economics,Taiyuan 030000,China) |
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Abstract This paper starts from the phenomenon of "clustering" in the joint patent network of electronic information materials industry in China,Using the National Intellectual Property Office (SIPO) Patent Database as a data source,through the modularity index of G-N algorithm,dynamically identify the structural characteristics of the joint patent network community in the industry and analyze the positional relationship of the community from the overall level. The results show that there is an obvious community structure in China's electronic information materials industry; The community structure in the innovation network has the characteristics of tight internal connections and sparse external connections,its system characteristics show that the size and quantity of the community remain relatively stable within a certain time frame; The community acts as a leader and broker in the innovation network. Through the in-depth analysis of the joint patent network community,this paper helps to understand the cooperative research and development behavior of enterprises,at the same time,it provides a new perspective for the research of network community governance and network power allocation.
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Received: 16 March 2020
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