DocumentCode
571336
Title
Evolution Model and Critical Mass of E-business Platform Based on Complex Networks
Author
Huang, Ou ; Duan, Wenqi
Author_Institution
Coll. of Econ. & Manage., Zhejiang Normal Univ., Jinhua, China
fYear
2012
fDate
18-21 Aug. 2012
Firstpage
60
Lastpage
64
Abstract
E-business platform is of typical characteristics of networked market, in which the positive feedback mechanism leads to platform success provided that the number of platform users surpasses its critical mass. Otherwise, the platform would diminish and disappear in the market under the effect of the negative feedback mechanism. This paper, based on the complex network method, developed a dynamical model to describe the number of platform users varying with the time after the platform introduced into market. Then, we analyzed the influence factors and functional mechanisms in determining the critical mass of platform users based on the proposed platform diffusion model. Results show that (1) the platform user network structure and the user decision threshold value are the main factors to determine the critical mass of platform users (2) the heterogeneity of network structure (the standard deviation of degree distributions) is in roughly power function of the critical mass of platform users.
Keywords
Internet; complex networks; diffusion; electronic commerce; feedback; marketing data processing; complex network; critical mass; dynamical model; e-business; evolution model; feedback mechanism; functional mechanism; market data processing; platform diffusion model; user decision threshold value; Business; Complex networks; Diffusion processes; Economics; Educational institutions; Standards; Switches; E-Business platform; complex networks; critical mass of users;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
Conference_Location
Lanzhou
Print_ISBN
978-1-4673-2092-4
Type
conf
DOI
10.1109/BIFE.2012.21
Filename
6305080
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