A new version of this entry is available:
Loading...
ResearchPaper
2015
Simulating knowledge diffusion in four structurally distinct networks : an agent-based simulation model
Simulating knowledge diffusion in four structurally distinct networks : an agent-based simulation model
Abstract (English)
In our work we adopt a structural perspective and apply an agent-based simulation approach to analyse knowledge diffusion processes in four structurally distinct networks. The aim of this paper is to gain an in-depth understanding of how network characteristics, such as path length, cliquishness and the distribution and asymmetry of degree centrality affect the knowledge distribution properties of the system. Our results show – in line with the results of Cowan and Jonard (2007) – that an asymmetric or skewed degree distribution actually can have a negative impact on a network’s knowledge diffusion performance in case of a barter trade knowledge diffusion process. Their key argument is that stars rapidly acquire so much knowledge that they interrupt the trading process at an early stage, which finally disconnects the network. However, our findings reveal that stars cannot be the sole explanation for negative effects on the diffusion properties of a network. In contrast, interestingly and quite surprisingly, our simulation results led to the conclusion that in particular very small, inadequately embedded agents can be a bottleneck for the efficient diffusion of knowledge throughout the networks.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Notes
Publication license
Publication series
Hohenheim discussion papers in business, economics and social sciences; 2015,05
Published in
Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Economics
Examination date
Supervisor
Edition / version
Citation
Identification
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
330 Economics
Original object
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@techreport{Kudic2015,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/5927},
author = {Kudic, Muhamed and Mueller, Matthias and Bogner, Kristina et al.},
title = {Simulating knowledge diffusion in four structurally distinct networks : an agent-based simulation model},
year = {2015},
school = {Universität Hohenheim},
series = {Hohenheim discussion papers in business, economics and social sciences},
}