Emergence of Fashion Cycle by Agent-Based Model of WoM Dissemination

Consumer behavior researches whose main subjects were an electronic payment and a web-based social networking service described their diffusion processes by word-of-mouth dissemination among consumers. The role of market mavens, a type of consumers who spread their capricious knowledge widely, was characteristic in this process. The agent-based simulation model based on these findings reproduced the diffusion of the research subjects. This base model was extended to a model in which multiple products compete. Fashion cycle emerged in the simulation results of the competition model in the case market mavens lead the diffusion of a product.

[1]  R. Huckfeldt,et al.  Political Communication and Disagreement Among Citizens in Japan and the United States , 2001 .

[2]  Elmar Kiesling,et al.  Agent-based simulation of innovation diffusion: a review , 2011, Central European Journal of Operations Research.

[3]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[4]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[5]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[6]  M. Newman,et al.  Random graphs with arbitrary degree distributions and their applications. , 2000, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Wolfgang Pesendorfer,et al.  Design Innovation and Fashion Cycles , 1995 .

[8]  Nobuyuki Tomizawa,et al.  Consumer Phase Shift Simulation Based on Social Psychology and Complex Networks , 2008, 2008 IEEE Congress on Services - Part I.

[9]  H. Russell Bernard,et al.  Estimating the size of personal networks , 1990 .

[10]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[11]  Christopher M. Miller,et al.  Toward Formalizing Fashion Theory , 1993 .

[12]  Linda L. Price,et al.  The market maven: A diffuser of marketplace information. , 1987 .

[13]  Takashi Yoshida,et al.  Snowball sampling consumer behaviour research to characterise the influence of market mavens on social networks , 2013, Int. J. Intell. Syst. Technol. Appl..

[14]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.