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On the Stochastic Overlay Simulation Network

  • Conference paper
Computer Supported Cooperative Work in Design I (CSCWD 2004)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3168))

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Abstract

This paper proposes a method of generating stochastic overlay simulation network with exact average degree (EAD). It discusses regional distribution of stochastic nodes, selection of core nodes and overlay functional nodes, deductions of new formula of the connectivity probability and the convergence of the connection probability, classification strategy of increasing degree, fast connection strategy of stochastic network. Further explanation of the performance of the stochastic overlay simulation network is also presented.

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Author information

Authors and Affiliations

  1. Network Information Center, Chinese People’s Public Security University, Beijing, 100038, China

    Ke-Jian Liu

  2. Graduate Student College, China University of Mining and Technology, Beijing, 100083, China

    Zhen-Wei Yu

  3. Department of Logistic Command & Engineering, Naval University of Engineering, Tianjin, 300450, China

    Zhong-Qing Cheng

Authors
  1. Ke-Jian Liu
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  2. Zhen-Wei Yu
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  3. Zhong-Qing Cheng
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Editor information

Editors and Affiliations

  1. Integrated Manufacturing Technologies Institute, National Research Council of Canada, 800 Collip Circle, N6G 4X8, London, ON, Canada

    Weiming Shen

  2. Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Zongkai Lin

  3. CNRS, Heudiasyc, Centre de Recherches de Royallieu, University of Compiègne, 60205, Compiègne, France

    Jean-Paul A. Barthès

  4. College of Information Science and Technology, Xiamen University, 361005, Xiamen, China

    Tangqiu Li

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, KJ., Yu, ZW., Cheng, ZQ. (2005). On the Stochastic Overlay Simulation Network. In: Shen, W., Lin, Z., Barthès, JP.A., Li, T. (eds) Computer Supported Cooperative Work in Design I. CSCWD 2004. Lecture Notes in Computer Science, vol 3168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11568421_43

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  • DOI: https://doi.org/10.1007/11568421_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29400-9

  • Online ISBN: 978-3-540-31740-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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