Bayesian Belief Network Approach for Analysis of Intercultural Collaboration in Virtual Communities Using Social Capital Theory

摘要

We present a Bayesian belief network approach using social capital theory as a means for addressing issues that are critical to intercultural collaboration learning in virtual communities. Our work has two contributions; first, we present a computational approach that can be used for understanding social capital and intercultural factors critical to the design of virtual communities. Second, using evidence-based scenarios, we show how the Bayesian model can be tuned over time as knowledge about the system grows.