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The dynamic network notation: harnessing network effects in PaaS-ecosystems

Published: 17 April 2012 Publication History

Abstract

Web applications complement the Platform-as-a-Service (PaaS) value by satisfying widespread and rapidly changing consumer requirements within limited time and budget. Successful PaaS providers excel in governing their market performance by leveraging complex network effects, which implicitly control PaaS-ecosystems. There is currently no methodically sound and easy to use tool available to business analysts and software engineers of PaaS-offerings that addresses challenges and opportunities in launching and governing such highly dynamic networks. In this paper, we capture network behavior through elements of complex system and control theory. Our dynamic network notation (DYNO) builds upon these theories. In more detail, DYNO models PaaS offerings with a focus on identifying and shaping network effects towards a sufficient user-base and an optimized portfolio of Web applications, all while maintaining a high quality of service.

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Cited By

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  • (2019)The Case of iOS and Android: Applying System Dynamics to Digital Business PlatformsComputational Science – ICCS 201910.1007/978-3-030-22750-0_43(499-506)Online publication date: 8-Jun-2019
  • (2016)Supporting the Evolution of Research in Software Ecosystems: Reviewing the Empirical LiteratureSoftware Business10.1007/978-3-319-40515-5_5(63-78)Online publication date: 7-Jun-2016
  • (2013)Software ecosystems - A systematic literature reviewJournal of Systems and Software10.1016/j.jss.2012.12.02686:5(1294-1306)Online publication date: 1-May-2013

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  1. The dynamic network notation: harnessing network effects in PaaS-ecosystems

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    cover image ACM Other conferences
    SIMPLEX '12: Proceedings of the Fourth Annual Workshop on Simplifying Complex Networks for Practitioners
    April 2012
    59 pages
    ISBN:9781450312387
    DOI:10.1145/2184356
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 17 April 2012

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    Author Tags

    1. PaaS
    2. base value
    3. causal loops
    4. control
    5. design
    6. dynamics
    7. network effect
    8. network effects
    9. network science
    10. notation
    11. software ecosystem
    12. web application

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    Cited By

    View all
    • (2019)The Case of iOS and Android: Applying System Dynamics to Digital Business PlatformsComputational Science – ICCS 201910.1007/978-3-030-22750-0_43(499-506)Online publication date: 8-Jun-2019
    • (2016)Supporting the Evolution of Research in Software Ecosystems: Reviewing the Empirical LiteratureSoftware Business10.1007/978-3-319-40515-5_5(63-78)Online publication date: 7-Jun-2016
    • (2013)Software ecosystems - A systematic literature reviewJournal of Systems and Software10.1016/j.jss.2012.12.02686:5(1294-1306)Online publication date: 1-May-2013

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