This paper introduces an authority analysis approach to enhance expert identification in Question-Answer forums (QAFs) by integrating overlapping community detection (OCD) algorithms with ranking methods. The proposed approach refines traditional HITS and PageRank algorithms to better account for intra-cluster and inter-cluster connections, improving the accuracy and relevance of expert identification. Experimental results show that incorporating OCD significantly enhances the effectiveness of expert identification compared to baseline methods.