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 (), Jörn Altmann and Junseok Hwang
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Junseok Hwang: Technology Management, Economics, and Policy Program (TEMEP), Seoul National University

No 201057, TEMEP Discussion Papers from Seoul National University; Technology Management, Economics, and Policy Program (TEMEP)

Abstract: 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.

Keywords: Social network analysis; index; network science; subgroup structure; Web2.0 system; service composition; collective intelligence; Web2.0 service network; performance evaluation; innovation; empirical data analysis (search for similar items in EconPapers)
JEL-codes: C43 D02 D23 D85 L14 L16 L22 L86 L96 M15 M21 (search for similar items in EconPapers)
Pages: 19 pages
Date: 2010-03, Revised 2010-03
New Economics Papers: this item is included in nep-net and nep-soc
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Published in Symposium on Collective Intelligence, COLLIN 2010, Advances in Intelligent and Soft Computing, Springer, Hagen, Germany, April 2010

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Persistent link: https://EconPapers.repec.org/RePEc:snv:dp2009:201057

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