Of online community: Identifying mentor and mentee with compatible different attributes and decision tree

Identifying the mentor and the mentee in the online community is very difficult because of the hidden or lacking personal characteristics but it is very important for the organization. The new members in the organization probably will not only require the knowledge explicitly from their colleagues in the same department, but also the implicit knowledge from online community. The mentor and the mentee can be the same person at the same time, so it is challenging to identify the mentor and the mentee in the online community. This paper thus proposes the method for identifying the mentor and the mentee in the online community based on the assumption that the mentor and the mentee have both common and different attributes. However the different attributes have to be compatible between the mentor and the mentee. The satisfaction of mentor and mentee is collected from 32 mentors and 205 mentees. The classification model is constructed with decision tree. Consequently, the models with different depth levels are tested to determine the appropriate depth level with 10-fold and leave-one-out cross validation methods. The performance results show that the model with 5 depth level is the most appropriate model with 78.90% accuracy.