Arbeitspapier

Simulating knowledge diffusion in four structurally distinct networks: An agent-based simulation model

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.

Sprache
Englisch

Erschienen in
Series: Hohenheim Discussion Papers in Business, Economics and Social Sciences ; No. 05-2015

Klassifikation
Wirtschaft
Thema
innovation networks
knowledge diffusion
agent-based simulation
scale free networks
Netzwerk
Simulation
Wissen

Ereignis
Geistige Schöpfung
(wer)
Mueller, Matthias
Bogner, Kristina
Buchmann, Tobias
Kudic, Muhamed
Ereignis
Veröffentlichung
(wer)
Universität Hohenheim, Fakultät Wirtschafts- und Sozialwissenschaften
(wo)
Stuttgart
(wann)
2015

Handle
URN
urn:nbn:de:bsz:100-opus-11016
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Mueller, Matthias
  • Bogner, Kristina
  • Buchmann, Tobias
  • Kudic, Muhamed
  • Universität Hohenheim, Fakultät Wirtschafts- und Sozialwissenschaften

Entstanden

  • 2015

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