A Computational Model of Social Capital in Virtual Communities people can bring to the table are definitely some of the issues this group deals with. Though diversity as seen in this community brings rich and diverse views, methods, approaches and procedures en- riches problem solving, are difficult to enforce due to lack of shared understanding. Some of the challenges associated with diffi- culties of collaboration in interdisciplinary groups include, language barriers, cultural diversity, establishing a reasonable level of shared under- standing to leverage differences and initiating useful for building trusts for a group succeed. In order for such a community to be effective, there is need for members to be aware of the value of each disciplinary contribution to the joint accord. They need to develop mechanism to help them translation interface to facilitate share understand- ing as they work together. evidence. However, this is a step to come up with more cases to train the model and run some empirical experiments to validate the model. This phase of a model development further helps experts to examine the model and refine it based on their knowledge of the domain. The Bayesian model therefore serves as an interactive tool that enables experts to create a probabilistic model, simulate scenarios and reflect on the results of the predictions. Community A Community A is a virtual learning community (Community Type = VLC.) Based on the case description shared understanding is set to low and professional knowledge awareness is set to doesnotexist. Individuals in this community are familiar with their geographical diversity and so demographic awareness is set to exists. There is