DocumentCode :
2399514
Title :
Research of Consumer Characteristics of E-commerce Based on Complex Network Theory
Author :
Ni, Jing ; Zhong, Liangwei ; Ye, Lin ; Yan, Guangle
Author_Institution :
Bus. Sch., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
3129
Lastpage :
3132
Abstract :
Complex network theory is put forward in following research to analyze the statistical parameters of network business statically in E-commerce area. Empirical Study is based on the data provided by an online shopping website and statistical parameters such as enterprise act degree and clustering coefficient is studied accordingly. Thus we found that E-commerce displays the power law and clustering as most complex networks. It´s verified that the effect of customer nodes with high degree, so called as those customers with high loyalty, is important to develop new customer resources. Therefore we come to a conclusion that complex network theory is a feasible and effective tool for E-commerce company to deploy their business with the research of customer loyalty.
Keywords :
Internet; Web sites; customer services; electronic commerce; network theory (graphs); pattern clustering; retail data processing; clustering; complex network theory; consumer characteristics; customer loyalty; customer nodes; customer resources; e-commerce; network business; online shopping website; power law; statistical parameters; Bipartite graph; Companies; Complex networks; Equations; Fitting; Mathematical model; Bipartite graph; Clustering coefficient; Complete graph; Complex network; Degree distribution; E-commerce;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.788
Filename :
5590803
Link To Document :
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