ネットワークモデルによって捉えるイノベータ―理論とキャズム理論

Abstract

A network model of scientific paradigm shifts proposed by S. Bornholdt et al. (2011) was modified and extended to a modeling of prevailing trends such as music CDs in good demand, in which a mean-field state update is replaced by a state update depending only on nearest-neighboring nodes on a small-world network. The modified model is also used to establish a connection with diffusion of innovations as well as early adopter introduced by Everett M. Rogers, and with chasm as pointed out by Geoffrey Moore. Real commercial data of sales results of music CDs on major and independent labels are used for comparison between the original mean-field model and the modified small-world model.