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A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network

Author

Listed:
  • Kibae Kim

    () (Technical University of Braunschweig)

  • Jorn Altmann

    () (Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University)

Abstract

Service providers that own Web2.0 services allow Internet users not only to access their Web2.0 services but also to create new Web2.0 services (mashups) based on theirs. This creation of mashups generates the Web2.0 service network, in which a node represents a Web2.0 service and a link between two nodes represents a mashup using the two Web2.0 services linked. Since this Web2.0 service network is constructed without the control of a single entity (i.e., it is self-organizing), the network topology of the Web2.0 service network shows the scale-free characteristic. With respect of the weighting of those links, however, there are different approaches. Prior research either considered binary links or links that are weighted by summing up the number of mashups. Since the last approach might overestimate the strength of the link, we calculate the link weights according to Newman’s approach in this paper. Based on this weighted graph of the Web2.0 service network, we investigate the topology of the weighted graph and examine the pattern of Web2.0 service creations. Our results show that the Newman-based weighted graph of the Web2.0 service network shows the characteristics of a scale-free network and a small-world network.

Suggested Citation

  • Kibae Kim & Jorn Altmann, 2011. "A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network," TEMEP Discussion Papers 201178, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2011.
  • Handle: RePEc:snv:dp2009:201178
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    File URL: ftp://147.46.237.98/DP-78.pdf
    File Function: First version, 2011
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    References listed on IDEAS

    as
    1. B. J. Kim & A. Trusina & P. Minnhagen & K. Sneppen, 2005. "Self organized scale-free networks from merging and regeneration," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 43(3), pages 369-372, February.
    2. 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.
    3. M. E. J. Newman, 2001. "Clustering and Preferential Attachment in Growing Networks," Working Papers 01-03-021, Santa Fe Institute.
    4. Fu, Feng & Liu, Lianghuan & Wang, Long, 2008. "Empirical analysis of online social networks in the age of Web 2.0," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 675-684.
    5. O'Reilly, Tim, 2007. "What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software," MPRA Paper 4578, University Library of Munich, Germany.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Somayeh Koohborfardhaghighi & Jorn Altmann, 2014. "A Network Formation Model for Social Object Networks," TEMEP Discussion Papers 2014113, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jun 2014.
    2. Kibae Kim & Wool-rim Lee & Jorn Altmann, 2014. "SNA-Based Innovation Trend Analysis in Software Service Networks," TEMEP Discussion Papers 2014115, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Aug 2014.

    More about this item

    Keywords

    Web2.0 services; mashup; network topology analysis; self-organized networks; small-world networks; scale-free networks; complex networks.;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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