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A network model of knowledge accumulation through diffusion and upgrade

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  • Zhuang, Enyu
  • Chen, Guanrong
  • Feng, Gang

Abstract

In this paper, we introduce a model to describe knowledge accumulation through knowledge diffusion and knowledge upgrade in a multi-agent network. Here, knowledge diffusion refers to the distribution of existing knowledge in the network, while knowledge upgrade means the discovery of new knowledge. It is found that the population of the network and the number of each agent’s neighbors affect the speed of knowledge accumulation. Four different policies for updating the neighboring agents are thus proposed, and their influence on the speed of knowledge accumulation and the topology evolution of the network are also studied.

Suggested Citation

  • Zhuang, Enyu & Chen, Guanrong & Feng, Gang, 2011. "A network model of knowledge accumulation through diffusion and upgrade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2582-2592.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:13:p:2582-2592
    DOI: 10.1016/j.physa.2011.02.043
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    References listed on IDEAS

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    1. Chaomei Chen & Diana Hicks, 2004. "Tracing knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 199-211, February.
    2. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
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    Cited by:

    1. Aistleitner, Matthias & Gräbner, Claudius & Hornykewycz, Anna, 2021. "Theory and empirics of capability accumulation: Implications for macroeconomic modeling," Research Policy, Elsevier, vol. 50(6).
    2. Ioannidis, Evangelos & Varsakelis, Nikos & Antoniou, Ioannis, 2017. "False Beliefs in Unreliable Knowledge Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 275-295.
    3. Yu Zhang & Morteza Saberi & Elizabeth Chang, 2018. "A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 857-886, November.
    4. Chandra, Praveena & Dong, Andy, 2018. "The relation between knowledge accumulation and technical value in interdisciplinary technologies," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 235-244.
    5. Evangelos Ioannidis & Nikos Varsakelis & Ioannis Antoniou, 2021. "Intelligent Agents in Co-Evolving Knowledge Networks," Mathematics, MDPI, vol. 9(1), pages 1-17, January.
    6. 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.
    7. Bogner, Kristina, 2019. "Knowledge networks in the German bioeconomy: Network structure of publicly funded R&D networks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 03-2019, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

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