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 (13)

• Emergence of scaling in random networks
• Statistical mechanics of complex networks
• The structure and function of complex networks
• Finding and evaluating community structure in networks
• Assortative mixing in networks
• Classes of behavior of small-world networks
• The Web of Human Sexual Contacts
• Scale-free topology of e-mail networks
• Scale-Free Networks are Ultrasmall
• 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
• Correlations in Networks associated to Preferential Growth

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• Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection
• Synergistic effects in threshold models on networks