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Due to the strategic emerging industrial cluster includes different types of subjects, their interaction will affect the industrial economy and innovation capacity. According lo the data of strategic emerging enterprises, this paper constructs the economic 2-mode network and innovative 2-mode network composed of the strategic emerging industries and regions, respectively, according to the main business income and the number of effective patents of enterprises. Using the centrality of social network analysis to measure the structural characteristics of the 2-mode network, this paper analyzes the development status and evolution trend of strategic emerging industrial clusters. Then the three-dimensional grey correlation model is used to evaluate the innovation ability of each region with strategic emerging industrial clusters. Finally, an empirical study is carried out with Jiangsu province's strategic emerging industrial cluster as a typical case. The results show that: (1)The new generation of informational technology, biological industry, and high-end equipment manufacturing industry all have high centrality in the network, and they are located in an important position in the network. It shows that these three industries have strong economic effects and innovation ability and have a strong ability to control inter-enterprise and inter-regional informational transfer, while the digital creative industry has low centrality and is still in its initial stage located at the edge of the network. (2) The network centrality of Nanjing and Suzhou has always ranked first and second, indicating that these two regions have the highest influence on the network. The strategic emerging industrial clusters of Nanjing and Suzhou are relatively well-developed, and the innovation and economy have formed a positive interaction effect in these industrial clusters. (3) The innovation ability Of strategic emerging industrial clusters in Suzhou, Wuxi, and Nanjing is relatively strong, while the innovation ability of strategic emerging industrial clusters iii Taizhou and Yancheng is relatively weak. There is a great difference between southern Jiangsui and northern Jiangsu. [ABSTRACT FROM AUTHOR]

The purpose of this research was to examine the interactions between the focal firm (FF) and its technological alliance, and to enquire into the technological alliance network in shaping the firm position from innovative dynamics environment. 2-Mode network analysis was employed to explore the question of how technological position emerged from alliance interaction. Specifically, we looked at the network structure of the sample by examining the interactions of technological alliance. Our empirical data were from the ‘Strategic Alliance Database’ established by the Ministry of Science and Technology in Taiwan. We identified technological position of firms from the 2-mode network analysis to resolve the highlighted question. Some results that we found were as follows: (1) The alliance network of IT technology approximated an ideal core/periphery structure. (2) The network structure apparently demonstrated that FF with a higher centrality has better opportunity to locate in the central position of FFs or in the core position in the technological network. (3) Alliance in core with a dense structure can better facilitate the utilisation of existing knowledge in refinement and extension of existing technologies. Alliance in the periphery with a non-dense structure is in a favourable position for matchmaking of experimentation and to serve as a bridge to introduce novel technologies. [ABSTRACT FROM AUTHOR]