As the technologies required for collaborative computing grow, there are business collaborations between companies that conduct business related. Communication and interactions between companies has become a common phenomenon. Specialized methods or techniques are required to create and maintain these types of business partnerships. In this article we propose the concept of bridge between socially improved virtual communities. It is achieved by discovering current relevant business and prospective business alliances by developing a semi-automated approach. The proposed system architecture is compromising human activities as well as automated activities and is essentially a service-oriented system. In order to bring together previously separated groups and to find new relevant groups, we introduced the concept of intermediary discovery using techniques and metrics belonging to interactive mining. Empirical results revealed that the proposed system is effective when tested with the test bench that is based on distributed technology such as web services.
Interactions spanning several organizations have become an important aspect of the current collaborative landscape. Organizations create alliances to meet strategic objectives. The dynamic nature of collaborations increasingly demands automated techniques and algorithms to support the creation of such alliances. Our approach is based on the recommendation of possible alliances by discovering the currently relevant sources of competence and support for semiautomatic training. The environment is service oriented, composed of human and software services with different capacities. To mediate between previously separated groups and organizations, we introduce the concept of an intermediary that bridges disconnected networks. We present a dynamic approach to discovery of intermediaries based on interaction mining techniques and trust metrics.