Wherever You Are, I'll Catch You Modeling the Identification of Location-Based Communities in Mobile Social Networks

Several community detection methods have been proposed in recent years and the majority of these methods ignore location properties and few of them handle mobile social networks. Over the last decade, mobile social networks have witnessed a significant use and a non-stop popularity thanks to smartphones, and thus location based social networks attract an increasing number of users. These tools offer a high accuracy of following and modeling usersâĂŹ movement and facilitating usersâĂŹ interactions. Several factors can influence usersâĂŹ interactions mainly the geographic distance that has an impact on the way users communicate. In this paper, we address the problem of detecting mobile social networks communities.