Review of Social Computing Methods

Social networks provide a platform for people to exchange ideas and information in various forms such as text, graphics, images, audio, and animation. They represent a new computing paradigm known as social computing, where researchers from multiple disciplines study and analyse social interactions among users. In social computing systems, users play a crucial role as active participants whose behaviours influence the dynamics of online interactions. The identification and analysis of participant behaviour can be achieved through social computing methods that quantify social attributes. These computations are derived from concepts such as ergonomics, social metrics, and the FIRO-B (Fundamental Interpersonal Relations Orientation–Behaviour) model. This paper presents inferences based on data collected from participants’ behavioural patterns. The integration of these computational measures provides new insights and creates broader research opportunities in the field of social computing by enhancing the understanding of social behaviour and social knowledge.