The Community Divide Reserach Of Complex Web Service Collaborative Networks

With the further development and popularization of the internet, the applications and services which are available in the network continue to increase, but most of these programs and services are isolated from each other, and the exchanges among these are faced major difficulties. The presence and the extensive use of Web services provide convenience for the interaction of applications services. But with the growing web services, users become increasingly difficult to find the services they need from the service of mass. Therefore, the community discovery of service network is of great significance.Based on the methods of complex network, this article conducts analysis to network of services and finds the characteristic and potential laws of it from an overall and global perspective. The main work accomplished as follows:First, we build a matching network model of web services through the interaction between them, including exact matching and fuzzy matching network. We use the relative methods of complex network to analyze the service matching network and discuss the network topology and network characteristics.Then, taking advantage of the community detection of complex network to detect communities in service network and analyze their community structure. Put forward a improvement algorithms based on modularity for the directed weighted service matching network, and experiments are designed to analyze and discuss it.Finally, we extracted semantic tag information from the parameter information of building the network. Through the use of the relationship between these tags information and services operating, we build a label network, and do some network analysis. We take label network into the service network, to explain and describe the services community using the information of semantic tag.Through the community detection of service network in this article, we can get the service communities which have some certain relationships among these communities.These communities may be around a business theme.Through semantic tag information’s description of the service network community, we can understand the content and functionality of service network communities better. This information has important practical significance in recommending for users or building a more complex service composition.