Digital libraries may keep millions of citation records and bibliographic attributes such as title, authors' names, and the place of publication. Since the materials and contents in digital libraries are taken from diverse and distinct sources, there are some challenges regarding the use of digital libraries. One of the most important challenges is the ambiguity of authors' names. Although many methods have been proposed for solving the problem of ambiguous authors' names, their accuracy still must be enhanced. In this paper, an accurate method for author name disambiguation is proposed. It combines heuristic hierarchical clustering method and social networks to produce clusters with high accuracy. To evaluate the proposed method, an experiment is conducted using real dataset DBLP. The experimental results show that the accuracy can be enhanced using the proposed method.