Towards Social Network Extraction Using a Graph Database

In the enterprise context, an important amount of information is stored in relational databases. Therefore, relational database can be a rich source to extract social network. Moreover, it is not very suitable to present and store a social network. On the other hand, a graph database canmodel data in natural way and facilitates the query of data using graph operations. In this way, we propose a social network extraction approach from relational, and present mechanisms for transforming relational database into graph databases.