Visualization of Co-authorship among 36 Biggest Cities in China
There are many studies which try to analyze co-authorship among authors, cities, and countries. However, most studies depend on the statistical measures and the results are abstract and difficult to understand. The present paper takes co-authorship as a network and turns our attention to the co-authorship network among cities which formed naturally by the co-authorship among different authors who belong to different cities. Based on the database of CNKI, we get co-authorship data among 36 cities from 2000 to 2005. We apply Social Network Analysis (SNA) method to study the co-authorship network among these cities in China and make the results visualization. Keyplayer is used to find out key nodes in the co-authorship network and find that PeKing, XiAn, NanJing, ShangHai, WuHan, GuangZhou are six most important nodes for the integration of the whole network. According to the graph of co-authorship network we can find that the co-authorship network among 36 cities is a loose network; the mean links among these cities are only 28. After deleting the links which weight is less than mean value, we find the network is nearly like a star, the center of this network is PeKing. The co-authorship among other cities is very scarcely comparatively, even for those whose geographical location isnt far away from each other. The results show that cooperation between Peking and other cities is rather higher than cooperation among other cities, which means the resources are distributed in an imbalanced way. The cooperation among cities except Peking needs to be strengthened deeply.
Co-authorship Network Visualization City
ZHANG Dongling YIN Lichun HOU Haiyan LIU Zeyuan
WISE LAB of Dalian University of Technology. Dalian, China
国际会议
The Fifth InternationalSymposium on Management of Technology(ISMOT07)(第五届技术与创新管理国际研讨会)
杭州
英文
923-926
2007-06-01（万方平台首次上网日期，不代表论文的发表时间）