An analysis of ego network communities and temporal affinity for online social networks

The wide diusion of Online Social Networks (OSNs) presents several advantages, like the denition of simple tools for information shar- ing and spreading. However, OSNs present also some drawbacks, one of the most important one is the problem of privacy disclosures. Distributed Online Social Networks (DOSNs), which decentralize the control of the social network, have been recently proposed to overcome these issues. The decentralization of the control has issued several challenges, one of the main ones is guaranteeing data availability without relying on a cen- tral server. To dene users' data allocation strategies, the knowledge of the structure of the ego network and of the user' temporal behaviour is required. Unfortunately, the lack of real datasets limits the research in this eld. The goal of this paper is the study of the behaviour of users in a real social network in order to dene proper strategies to allocate the users' data on the DOSN nodes. In particular, we present an analysis of the temporal anity and of the social communities based on a real Facebook dataset.