User behaviour analysis from various activities recorded in social network log data

Abstract

Social network user behaviour analysis is to define behaviour formally in an appropriate manner. This formal behaviour representation helps in finding out the appropriate behaviour pattern from huge social network data sets and to provide a perfect qualitative analysis out of the computed results. People so far have tried to define the composition of user behaviour in terms of set of activities, patterns, way of participation, influence, etc., in the social network. Various methods were employed in characterization of user behaviour in various social network platforms. In this paper, we tried to describe silent user behaviour in social networks. User behaviour can be analysed based on the various silent activities it has performed without directly leaving any footprint in the network. These are regarded as silent behaviour as these are computed from the user generated log data. Types of required data sets, necessary parameter computation and finally analysis of silent behaviour based on the physical significance of the computed parameters are presented here in this paper.