Awareness of social influence on linked social service

Linked social service considers not only the functionality and QoS of service but also the service's sociability, so that it knows not only about themself, but also the peers that they would like to work with in case of composition or they would have to compete against in case of service selection. Global social service network was constructed by connecting linked social services, to describe service societies' features such as social relations and social states, and provide a basis for inferring, planning, and coordinating social activities. Therefore, awareness of the social relationship between linked social services can help many mining applications such as representative node identification and service recommendation. In this paper, we propose a flexible model for effective awareness of social influence to provide a quantitative measure of the influential strength. First, we formally formulate the problem of awareness of social influence in general domains; next, we observe some fundamental social factors which impact the social influence strength between Linked social services in global social service network; and then, a flexible model is proposed for awareness of social influence on Linked social service to provide a quantitative measure of social influence strength. Finally, an application examples, such as representative service identification is provided.