AbstractThis paper aims to understand some of the mechanisms which dominate the phenomenon of knowledge diffusion in the process that is called ‘interactive learning’. We examine how knowledge spreads in a network in which agents interact by word of mouth. We define a social network structured as a graph consisting of agents (vertices) and connections (edges) and situated on a wrapped grid forming a torus. The target of this simulation is to test whether knowledge diffuses homogeneously or whether it follows some biased path, and its relation with the network architecture. We also investigate the impact of a modelled ICT platform on the knowledge diffusion process.
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Bibliographic InfoPaper provided by EconWPA in its series Computational Economics with number 0312001.
Length: 37 pages
Date of creation: 08 Dec 2003
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Note: Type of Document - pdf; prepared on Win98; pages: 37
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Agent-based Knowledge Network Small world;
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-12-14 (All new papers)
- NEP-CBE-2003-12-14 (Cognitive & Behavioural Economics)
- NEP-GEO-2003-12-14 (Economic Geography)
- NEP-INO-2003-12-14 (Innovation)
- NEP-TID-2003-12-14 (Technology & Industrial Dynamics)
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- Widad Guechtouli, 2014. "Agent-based modeling of knowledge transfer within social networks," Working Papers 2014-148, Department of Research, Ipag Business School.
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