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Measuring and Analyzing the Openness of the Web2.0 Service Network for Improving the Innovation Capacity of the Web2.0 System through Collective Intelligence

  • Kibae Kim

    ()

  • Jorn Altmann

    ()

  • Junseok Hwang

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

Web2.0 users can create new services by combining existing Web2.0 services that offer open programming interfaces. This system of service composition forms a network, which we call the Web2.0 service network. A node of the Web2.0 service network represents a service. A link between two nodes exists, if another Web2.0 service (i.e. mashup) uses the linked services. The Web2.0 service network can be understood as an innovation system that creates value through the composition of services, representing the collective intelligence of users. Within this paper, we analyze the openness of the Web2.0 service network. Openness, which is an indicator for the innovation potential ofa network, is measured using the Enhanced-EIS-Indexes. These indexes are based on Krackhardt and Stern¡¯s EI-Index. The analysis results of the indexes show that the Web2.0 service network is not as open as the evolutionary analysis of the Web2.0 service network suggested. The slight closeness of the Web2.0 service network has been identified by the Agent Behavior Index EISa, which highlighted that relatively more links are created within subgroups than between subgroups. It indicates that factors such as service ownership and type of service have an impact on innovation within the network.

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File URL: ftp://147.46.237.98/DP-57.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 201057.

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Length: 19 pages
Date of creation: Mar 2010
Date of revision: Mar 2010
Publication status: Published in Symposium on Collective Intelligence, COLLIN 2010, Advances in Intelligent and Soft Computing, Springer, Hagen, Germany, April 2010
Handle: RePEc:snv:dp2009:201057
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  1. 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.
  2. 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.
  3. Henkel, Joachim, 2006. "Selective revealing in open innovation processes: The case of embedded Linux," Research Policy, Elsevier, vol. 35(7), pages 953-969, September.
  4. 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.
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