Primary role identification in dynamic social networks

Abstract

Social networks often forms very complex structures that additionally change over time. Description of actors' roles in such structures requires to take into account this dynamics reflecting behavioral characteristics of the actors. A role can be defined as a sequence of different types of activities. Various types of activities are modeled by pattern subgraphs, whereas sequences of these activities are modeled by sequence diagrams. For such defined roles, a role identification procedure is proposed assigning to each actor his or her primary role played in a dynamic social network.

A Machine Learning-based Online Social Network Analysis for 360-degree User Profiling

“…The multihoming resulted in increased utility for the users of social networking websites, when the two websites are differentiated in terms of features. Radoslaw Brendel et al [30] proposed a behavioural model based on user roles in social network considering attributes of actors and attributes of relations. For dynamic social network, pattern subgraphs and deterministic finite-state automata were proposed and each role was modeled by an automaton.…”

“…The studies on social network user behaviour needs more investigations by research communities to address various challenges in accurate analysis of behaviour. There exists a large number of social network user behaviour analysis methods with special emphasis on behaviour prediction [26][27][28][29][30]. By analyzing various social network data sets and by observing past activities, future behaviour of user can be predicted.…”