The Empirical Analysis of E-Commerce Conference Communication Network Based on Social Network Theory

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Against economic globalization backdrop, the government and scholars pay close attention to the e-commerce. Using the analysis tool--UCINET, the paper conducted an empirical analysis of E-commerce conference communication network based on social network theory. We have established an information database of Chinese E-commerce Conference, which reflects the relationships of conference communication network between them. Our findings are as follows: ①Some actors are in core position of the network, becoming the pioneers of leading the development of the retail industry network. But on the whole network, the network’s centralization doesn’t differ greatly. ②The communication network exerts a typical small world phenomenon. ③The conference communication network has no obvious phenomenon of "assigned" or "grade".

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1922-1927

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yao Xiaotao and Xi Xouming. Management and social network analysis. Management Science (6): 19-21. (2008).

Google Scholar

[2] Luo Jiade. Social network analysis of the handouts. Beijing Science Documentation Publishing Press. p.150. (2005).

Google Scholar

[3] Borgatti, S. P. and M. G. Everett. A Graph-theoretic perspective on centrality. social networks 28(4): 466-484. (2006).

DOI: 10.1016/j.socnet.2005.11.005

Google Scholar

[4] Wang Lu. The cliques of dummy learning community in social network. Chinese computer education. (2009).

Google Scholar

[5] Freeman, L. C. centrality in social networks: conceptual clarification. social networks 1: 215-239. (1979).

DOI: 10.1016/0378-8733(78)90021-7

Google Scholar

[6] Butts, C. T. (2006). Exact bounds for degree centralization., social networks 28(4): 283-296.

DOI: 10.1016/j.socnet.2005.07.003

Google Scholar

[7] Xu Yuanyuan and Zhu Qinghua (2008). An Empirical Study of the social network analysis in citation analysis. Intelligence theory and practice (2): 184-188.

Google Scholar

[8] Watts D J and Strongatz S H. collective dynamics of small-world networks. Nature 393: 440-442. (1998).

Google Scholar

[9] Feng Feng and Wangkai. Analysis of small-world network model of knowledge transfer within the industry cluster. Science of Science and Technology Management (7): 88-91. (2007).

Google Scholar

[10] Bart Verspagen and Geert Duysters (2004). the small worlds of stragegic technology alliances., technovation 24: 563-571.

DOI: 10.1016/s0166-4972(02)00123-2

Google Scholar

[11] Liu Jun. Overall network analysis handout - UCINTE, software user guide, Shanghai: Gezhi Press: 112. (2009).

Google Scholar

[12] Du Haifeng, et al. Migrant Workers' Social network analysis of the Cohesive Subgroup Structures. Society (5): 20-40. (2008).

Google Scholar

[13] Zhou Ming, Zhang Ke, et al. Based virtual community cohesion subgroup social network structure of empirical analysis of technical and economic (10): (2009).

Google Scholar

[14] Liu Jun Village social support network in France as a whole structure of the block model and its application., Society (3): 69-80. (2006).

Google Scholar

[15] Davis, A., B. B. Gardner, et al. (1941). Deep Sounth. Chicago, University of Chicago Press.

Google Scholar

[16] Wang Zhiliang, the application of social network analysis in the collaborative research network , Dalian University. (2005).

Google Scholar