Original Articles: 2014 Vol: 6 Issue: 7
Study of the structure of inter-organization innovation network based on grey relational analysis
Abstract
Inter-organization cooperation and innovation is increasingly common. However as the limitation of information,
the members in the innovation network cannot evaluate each other when they need to choose cooperators. In this
paper, a new type of inter-organization innovation network which comprises preferential attachment and
preferential deletion based on grey relational analysis is studied. A series of simulations and analysis of average
path length and clustering coefficient are conducted. To be specifically, grey relational analysis can help
organizations in choosing cooperators. By simulation analysis, we compare the inter-organization innovation
network in the steady state based on grey relational analysis with the random network and regular network, we
find that such innovation network has the property of ‘small world’, which can demonstrate that evolution model of
innovation network based on grey relational analysis is reasonable.