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Scalability and the Social Dynamics of Communication. On Comparing Social Network Analysis and Communication-Oriented Modelling as Models of Communication Networks

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Book cover Socionics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3413))

Abstract

Internet communication is a major challenge for anyone claiming to design scalable multiagent systems. Millions of messages are passed every day, referring to one another and thus shaping a gigantic network of communication. In this paper, we compare and discuss two different approaches to modelling and analysing such large-scale networks of communication: Social Network Analysis (SNA) and Communication-Oriented Modelling (COM). We demonstrate that, with regard to scalability, COM offers striking advantages over SNA. Based on this comparison, we identify mechanisms that foster scalability in a broader sense, comprising issues of downscaling as well.

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Author information

Authors and Affiliations

  1. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstr. 95, 21071, Hamburg, Germany

    Steffen Albrecht, Maren Lübcke & Thomas Malsch

  2. Department of Applied Computer Science, Bamberg University, Feldkirchenstr. 21, 96045, Bamberg, Germany

    Christoph Schlieder

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  1. Steffen Albrecht
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  2. Maren Lübcke
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  3. Thomas Malsch
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  4. Christoph Schlieder
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Editor information

Editors and Affiliations

  1. DFKI GmbH, Saarbrücken, Germany

    Klaus Fischer

  2. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstrasse 95, 21071, Hamburg, Germany

    Michael Florian

  3. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstr. 95, 21071, Hamburg, Germany

    Thomas Malsch

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Albrecht, S., Lübcke, M., Malsch, T., Schlieder, C. (2005). Scalability and the Social Dynamics of Communication. On Comparing Social Network Analysis and Communication-Oriented Modelling as Models of Communication Networks. In: Fischer, K., Florian, M., Malsch, T. (eds) Socionics. Lecture Notes in Computer Science(), vol 3413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11594116_13

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  • DOI: https://doi.org/10.1007/11594116_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30707-5

  • Online ISBN: 978-3-540-31613-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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