IDEAS home Printed from https://ideas.repec.org/p/snv/dp2009/2014113.html
   My bibliography  Save this paper

A Network Formation Model for Social Object Networks

Author

Listed:
  • Somayeh Koohborfardhaghighi

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

  • Jorn Altmann

    () (College of Engineering, Seoul National University)

Abstract

Social networks can be differentiated according to the type of entities (i.e., humans or objects) that are represented within them. These networks can be called human networks and social object networks, respectively. Actors in human networks can act strategically to maximize their own payoffs during interactions with other humans. However, actors in social object network (e.g., SaaS service network) are not able to perceive the environment and act strategically upon that at any time. Only when they join the network, humans position them such that it maximizes their payoff. This paper contends that existing network formation models lack sufficient attention to social object networks (e.g., SaaS service networks). Therefore, we propose a new network formation model, through which we are able to explain how a SaaS service network emerges during the service composition procedure by service developers. The new network formulation model not only considers the usage frequency and reputation but also the similarity of the functionalities of the main SaaS services. It also explains how social objects (e.g., SaaS services) can benefit from establishment of links among each other in the network.

Suggested Citation

  • 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.
  • Handle: RePEc:snv:dp2009:2014113
    as

    Download full text from publisher

    File URL: ftp://147.46.237.98/DP-113.pdf
    File Function: First version, 2014
    Download Restriction: no

    References listed on IDEAS

    as
    1. Robert P. Gilles & Cathleen Johnson, 2000. "original papers : Spatial social networks," Review of Economic Design, Springer;Society for Economic Design, vol. 5(3), pages 273-299.
    2. Somayeh Koohborfardhaghighi & Jorn Altmann, 2014. "How Placing Limitations on the Size of Personal Networks Changes the Structural Properties of Complex Networks," TEMEP Discussion Papers 2014110, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2014.
    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. Carayol, Nicolas & Roux, Pascale, 2009. "Knowledge flows and the geography of networks: A strategic model of small world formation," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 414-427, August.
    5. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    6. Buechel, Berno, 2011. "Network formation with closeness incentives," Center for Mathematical Economics Working Papers 395, Center for Mathematical Economics, Bielefeld University.
    7. Thayer Morrill, 2011. "Network formation under negative degree-based externalities," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(2), pages 367-385, May.
    8. Kibae Kim & Jorn Altmann, 2013. "Evolution of the Software-as-a-Service Innovation System Through Collective Intelligence," TEMEP Discussion Papers 2013108, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Dec 2013.
    9. 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.
    10. Philipp Möhlmeier & Agnieszka Rusinowska & Emily Tanimura, 2013. "A degree-distance-based connections model with negative and positive externalities," Post-Print halshs-00825266, HAL.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Software-as-a-Service Network; Network Formation Model; Social Object Networks.;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:snv:dp2009:2014113. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jorn Altmann). General contact details of provider: http://edirc.repec.org/data/tesnukr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.