Trust Network Modeling for Virtual Enterprise Cloud Manufacturing

Abstract

With the deepening of global financial crisis and debt crisis, currency wars are escalating and trade protection is getting worse. Crisis of confidence in the national level is gradually spread to the enterprise level, virtual enterprise based on the global manufacturing particularly faces serious crisis of confidence. To analyzing and evaluating Virtual Enterprise venture, trust network structure pattern mining is presented based on Cloud Manufacturing platform including the ontology representation, static and dynamic modeling and the push and pull service mechanism. First, Semantic Web Services are used to create an integrated full-view model. Then, key path algorithm is used to build the trust network, and choose the best cluster ontology using aggregation factor. Third, the path length and clustering coefficient are used to describe the state changes of the network structure, and MarkovMonte Carlo selection method is used for the topology analysis on the evolution of Virtual Enterprise ecological communities. Finally, Bayesian network and small world network hybrid graph model is provide for the push and pull services, and optimal connections between nodes is used to recommend the best partners.