Method for Automated Discovery of Network Communities within Mobile Communication Data

There has been considerable interest in methods for finding community structure in recent years. By using mobile communication data as the indicator of social relationships, we propose a fully automated method for identifying communities of practice within an organization. We use an improved G-N algorithm which can rapidly find communities within a network. We test this method on a set of mobile communication data and the result shows that the method is effective at identifying true communities. The efficiency and accuracy of the method make it feasible to be used for the accurate identification of community structure in social networks