Toward Expressing a Preliminary Core Identity Significantly Characterized from the Social Network Temporal Dynamicity

Abstract

The social computing research and the data mining can be interoperated in order to provide answers to the man socialization within emergent online social network (SN). Given as a new trend in the social network analysis and Mining (SNA), the social dynamic behavior is aimed to enhance, modeling, formalizing and identifying more significantly interesting phenomena as a core structure of an emergent SN. The nature and the behaviors of such underlying social structure are surrounded by the raised question in this paper in front of this temporal dynamicity. Firstly, the internal cohesion, persistence, composition stability and the important played role in the network in time are proposed as parameters. A core identity significantly characterized, will be acquired by a grouping of individuals, if a sufficient equilibrium between these parameters is expressed within a dynamic social networked environment. Secondly, a modeling method is addressed by formalizing a weighted temporal graph model where parameters combinations characterizing the behaviors and locations of groupings (temporal overlaps) in the network are expressed. Thirdly, a sub-model is identified as a container within which, a persistent structure should be deeply encapsulated, embodying a largest group maximizing and balanced between stable composition and central role throughout an observation period. Such identity is still discussed to enhance it, toward a more significant identity characterizing a core structure around that, a developing process of dynamic SN occurs in time.