An Empirical Study on the Characteristics of Complex Network of Firms' Innovation Network-Taking Taiyuan Stainless Steel Firms as an Example

Abstract:

Research shows the degree distribution of firms' innovation network in accordance with power-law distribution as continuous evolution of firms' innovation network, which has larger clustering coefficient and smaller average path length. Therefore, the network structure and simulation results of two stages are compared with the data of Taiyuan stainless steel firms' innovation network. The size of Taiyuan stainless steel firms' innovation network is constantly expanding, so is the clustering coefficient, while the average path length is constantly shrinking.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 6261-6264
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.6261
• Online since: September 2014
• Authors: Bin Qiao*, Lin Ji, Xiao Xiao Wang
• Keywords: Complex Network, Innovation Network, Taiyuan Stainless Steel Firms

References

[1] Kostas, Galanakis. Innovation process. Make sense using systems thinking. Technovation, 2006, 26: 1222-1232.

DOI: 10.1016/j.technovation.2005.07.002

[2] Li Jinhua, The influence of knowledge flow on the innovation network structure. Science & Technology Progress and Policy, 2007(11).

[3] Fang Feng, Wang Liang. Analysis on how to cultivate collaborative innovation network of industry-university-research institution. China Soft Science, 2008(11).

[4] Hu Xian, Yang Jianmei, Liang Derong. The complex network analysis of the enterprise competitive relationships evolution. Soft Science, 2008, 22(6).

[5] Wang Xiaofan, Li Xiang, Chen Guanrong. Complex network theory and its application. Beijing: Tsinghua University press, (2005).

[6] Li Jinhua, Sun Dongchuan, An evolutionary model of networks of innovators. Studies in Science of Science, 2006(2).