摘要
以专利为视角,利用网络分析法和Ucinet工具,以山东理工大学为例,对其截止到2012年11月20日所有发明专利和实用新型的专利申请文献进行可视化分析,构造专利共现网络和发明人-专利2模数据的复杂网络,藉此研究学科交叉情况,并找到该研究领域的学科创新带头人,对于高校学科群的建设具有重要的参考价值。
Taking Shandong University of Technology as an example, we use network analysis and Ucinet to visualize its patent documen- tation of invention patents and utility model patents until November 20, 2012, and construct the inventor - patent 2 mode network in the view of patent. Through this study, we examine the interdisciplinary cases, and find the academic leaders in the field of the studied sub- jects. This has important reference value for the construction of universities discipline groups.
出处
《情报杂志》
CSSCI
北大核心
2013年第10期62-66,35,共6页
Journal of Intelligence
