Partner Matching Applications of Social Networks

People always need to find partners to engage in a lot of daily activities. Therefore, applications of partner matching are significant to help people to find good partners easily. In this paper, we proposed a framework which can match partners for an activity community. In order to improve the matching performance, all users are divided into groups based on a specific classification tree that is built for a specific activity. Maintaining as many stable partnerships as possible in the community is the optimization goal. To achieve the goal, various factors are considered to design matching functions. The simulation results show that the proposed framework can help most of people find stale partners quickly.