A statistical features analysis of service network based on complex network method

The service ecosystem has been created as a logic collection of different services, which is a typical Cyber-Physical System. With the rapidly developed service-oriented architecture (SOA) technology, it increasingly attracted more attention by providing users more flexible services. Clarifying the relations between services and the structure of the service ecosystem is of great importance to construct a productive service ecosystem. However, the current researches mostly study the optimize service discovery algorithms, service compositions and service recommendations, these works are mainly based on the analysis of the service relations from a component view and ignore the system structure constructed by the services and their relations. In this paper, we focus on the system structure of the Programmable-web service ecosystem and propose an model of the service ecosystem. We have analyzed the statistics of the actual service ecosystem based on the service data and find that the structure of the service system shows scale-free characteristics. The results show that the proposed model could capture the statistics of the actual network and be applicable to model the Programmable-web service ecosystem.