Title :
The Effects of Innovation Alliance on Network Structure and Association Rules
Author :
Shengnan, Fei ; Wen, Zhou ; Zongtian, Liu ; Yan, Zhao ; Ying, Zhu ; Xiaolong, Lu
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Social network structure affects the spread and penetration of information, thus to a large extent is advantageous to the promotion of knowledge innovation. This paper analyzes the network structure of the alliance network among Chinese enterprises, and through the association rules mines and then analyzes the impact that the network structure of innovation alliance network has on the innovation performance of 156 firms in the network. The experimental results show that suitable network structure has a positive impact on enterprise innovation.
Keywords :
data mining; enterprise resource planning; innovation management; social networking (online); Chinese enterprises; association rules; enterprise innovation; innovation alliance; knowledge innovation; social network structure; Association rules; Companies; Equations; Patents; Peer to peer computing; Social network services; Technological innovation; Association rule; Betweenness Centrality; Innovation alliance; Local efficiency;
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
DOI :
10.1109/iThings/CPSCom.2011.95