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Research on the Structural Characteristics of Product Adoption Network

Published: 17 August 2017 Publication History

Abstract

Considering the heterogeneity of adopters' information level and potential adopters' reservation price, this paper proposes model to study the formation of product adoption network, and analyzes the structural characteristics of product adoption network, such as degree distribution, clustering coefficient and average path length. The results show that communication between consumers and consumer heterogeneity influence the formation of product adoption network, and the network exhibits small-world and scale-free characteristics. The value of clustering coefficient and average path length tend to be stable as the number of nodes in the network increases.

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G. Caldarelli, A. Capocci, P. De Los Rios, et al, "Scale-Free Networks from Varying Vertex Intrinsic Fitness," Physical Review Letters, vol. 89, no. 25, 1--4, 2002.
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M. Hohnisch, S. Pittnauer, D. Stauffer, "A percolation-based model explaining delayed takeoff in new-product diffusion," Industrial and Corporate Change, vol. 17, no. 5, 1001--1017, 2008.
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D. Lopez-Pintado, "Influence networks," Games and Economic Behavior, vol. 75, no. 2, 776--787, 2012.
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R. Peres, E. Muller, V. Mahajan, "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, vol. 27, no. 2, 91--106, 2010.
[7]
H. P. Young, "Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning," American Economic Review, vol. 99, no. 5, 1899--1924, 2009.

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    ICIBE '17: Proceedings of the 3rd International Conference on Industrial and Business Engineering
    August 2017
    107 pages
    ISBN:9781450353519
    DOI:10.1145/3133811
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Waseda University: Waseda University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 August 2017

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    Author Tags

    1. Product adoption network
    2. heterogeneity
    3. product diffusion
    4. structural characteristics

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