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The small-world and scale-free structure of an internet technological community

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  • Jie Yan
  • Dimitris Assimakopoulos

Abstract

Two network topology models, 'small-world' and 'scale-free' networks, have been recently introduced by physicists and mathematicians, generating a growing interest from the natural and social scientists interested in the dynamics of networks and related communities. In this paper, we analyse the structure of the questioning and replying network in a very large internet technical community, China Software Development Net (CSDN). CSDN is the biggest Chinese language software technical forum, with over one million registered members by early 2006. Our findings indicate that the CSDN network presents both small-world and scale-free properties. The technology and knowledge management implications for this network structure are discussed with respect to the technical knowledge and innovation diffusion in large technological communities.

Suggested Citation

  • Jie Yan & Dimitris Assimakopoulos, 2009. "The small-world and scale-free structure of an internet technological community," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 8(1), pages 33-49.
    • Handle: RePEc:ids:ijitma:v:8:y:2009:i:1:p:33-49
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    Citations

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    Cited by:

    1. Rong, Rong & Houser, Daniel, 2015. "Growing stars: A laboratory analysis of network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 380-394.
    2. Lian, Ying & Dong, Xuefan & Liu, Yijun, 2017. "Topological evolution of the internet public opinion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 567-578.
    3. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2018. "Experts in Knowledge Networks: Central Positioning and Intelligent Selections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 890-905.
    4. Dong, Xuefan & Liu, Yijung & Wu, Chao & Lian, Ying, 2019. "The topology of scale-free networks with an S-shaped nonlinear growth characteristic," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 137-148.

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