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An Analysis of the Openness of the Web2.0 Service Network Based on Two Sets of Indices for Measuring the Impact of Service Ownership

  • Kibae Kim

    ()

    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

  • Jorn Altmann

    ()

    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

  • Junseok Hwang

    ()

    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

One of the important characteristics of Web2.0 is the collaboration between Web2.0 service providers. They allow users (i.e., providers, developers, consumers) to combine their services. The prerequisite for this collaboration is openness of the Web2.0 service system. Although the Web2.0 technology allows the linking of different heterogeneous Web2.0 services freely, it is only assumed that the Web2.0 system is socially open as well. Until now, it has not been studied whether it is socially open and, if so, to what degree. In this paper, we address this shortcoming by creating and analyzing the Web2.0 service network. The nodes of this network are Web2.0 services and links represent the existence of mashups. In order to measure how much the Web2.0 service network is socially open, we use six openness indices, which are based on Krackhardt and Stern¡¯s EI-Index. Our results show that the Web2.0 is not fully socially open. The reason is that users of Web2.0 services do not leverage the openness provided by the technology. Instead, they prefer using Web2.0 services of those providers that they already know, i.e. the ownership of the service impacts the users¡¯ choices.

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File URL: ftp://147.46.237.98/DP-67.pdf
File Function: First version, 2010
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Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201067.

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Length: 25 pages
Date of creation: Oct 2010
Date of revision: Oct 2010
Publication status: Published in Hicss44, Hawaii International Conference on System Sciences, January 2011
Handle: RePEc:snv:dp2009:201067
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  1. Walter, Jorge & Lechner, Christoph & Kellermanns, Franz W., 2007. "Knowledge transfer between and within alliance partners: Private versus collective benefits of social capital," Journal of Business Research, Elsevier, vol. 60(7), pages 698-710, July.
  2. Kibae Kim & Jorn Altmann & Junseok Hwang, 2010. "The Impact of the Subgroup Structure on the Evolution of Networks: An Economic Model of Network Evolution," TEMEP Discussion Papers 201056, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010.
  3. Kibae Kim & Jorn Altmann & Junseok Hwang, 2010. "Measuring and Analyzing the Openness of the Web2.0 Service Network for Improving the Innovation Capacity of the Web2.0 System through Collective Intelligence," TEMEP Discussion Papers 201057, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
  4. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
  5. M. E. J. Newman, 2001. "Clustering and Preferential Attachment in Growing Networks," Working Papers 01-03-021, Santa Fe Institute.
  6. Junseok Hwang & Jorn Altmann & Kibae Kim, 2009. "The Structural Evolution of the Web2.0 Service Network," TEMEP Discussion Papers 200914, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
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