A network-based threshold model for the spreading of fads in society and markets

Abstract

We investigate the behavior of a threshold model for the spreading of fads and similar phenomena in society. The model is giving the fad dynamics and is intended to be confined to an underlying network structure. We investigate the whole parameter space of the fad dynamics on three types of network models. The dynamics we discover is rich and highly dependent on the underlying network structure. For some range of the parameter space, for all types of substrate networks, there are a great variety of sizes and life-lengths of the fads -- what one see in real-world social and economical systems.

References in corpus (3)

• Structure and Time-Evolution of an Internet Dating Community
• The networked seceder model: Group formation in social and economic systems
• Modelling the dynamics of youth subcultures

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