A name is a key feature for distinguishing people, but we often fail to distinguish people because an author may have multiple names or multiple authors may share the same name. Such name ambiguity problems affect the performance of the document retrieval, web search and database integration. Especially, in bibliographic information, a number of errors may be included since there are different authors with the same name or an author name may be misspelled or represented with an abbreviation. For solving these problems, it is necessary to disambiguate the names inputted into the database. In this paper, we propose a method to solve the name ambiguity by using social networks constructed based on the relations among authors. We evaluated the effectiveness of the proposed system based on the DBLP data that offer computer science bibliographic information.