Response Analysis Model of Social Networks using Fuzzy Sets and System Dynamics

Abstract

Research on social network is an important topic in social science. A social network is a realistic environment with both network and interconnection characteristics. This study presents a simulation model of how each node responds to specific inputs (ex. Incentives) to the social networks. In addition, when the setting value of a specific node is changed while simulation is performed, the reaction of the related nodes can be checked in real time. The simulation model is made by considering various environments such as unidirectional, fuzzy set, weighting, and cyclic feedback, so this model can be applied in a complex environment of practical work. Finally, since the simulation model needs to analyze the node response to repetitive input and the relation of each node, we implemented it using Vensim rather than NetLogo.