Incremental communication patterns in online social groups

Abstract In the last decades, temporal networks played a key role in modelling, understanding, and analysing properties of dynamic systems where individuals events vary time. Of paramount importance is representation analysis Social Media, particular Networks Online Communities, through networks, due to their intrinsic dynamism (social ties, online/offline status, users’ interactions, etc..). The identification recurrent patterns detail Groups, an important challenge which can reveal information concerning structure social network, but also trending topics, so on. Different works have already investigated pattern detection several scenarios by focusing mainly on identifying occurrences fixed well known motifs (mostly, triads) or more flexible subgraphs. this paper, we present concept Incremental Communication Patterns, something in-between motifs, from they inherit meaningfulness identified structure, subgraph, possibility be extended as needed. We formally define Patterns exploit them investigate interaction occurring real dataset consisting 17 Groups taken list Facebook groups. results regarding our experimental uncover interesting aspects interactions groups that are able capture roles users within