A network model of knowledge accumulation through diffusion and upgrade

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Original languageEnglish
Pages (from-to)2582-2592
Journal / PublicationPhysica A: Statistical Mechanics and its Applications
Issue number13
Publication statusPublished - 1 Jul 2011


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. © 2011 Elsevier B.V. All rights reserved.

Research Area(s)

  • Knowledge accumulation, Knowledge diffusion, Knowledge upgrade, Multi-agent network