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

Kudic, Muhamed; Mueller, Matthias; Bogner, Kristina; Buchmann, Tobias

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

dc.contributor.author	Kudic, Muhamed	de
dc.contributor.author	Mueller, Matthias	de
dc.contributor.author	Bogner, Kristina	de
dc.contributor.author	Buchmann, Tobias	de
dc.date.accessioned	2024-04-08T08:51:31Z
dc.date.available	2024-04-08T08:51:31Z
dc.date.created	2015-07-23
dc.date.issued	2015
dc.description.abstract	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.	en
dc.identifier.swb	442201192
dc.identifier.uri	https://hohpublica.uni-hohenheim.de/handle/123456789/5927
dc.identifier.urn	urn:nbn:de:bsz:100-opus-11016
dc.language.iso	eng
dc.relation.ispartofseries	Hohenheim discussion papers in business, economics and social sciences; 2015,05
dc.rights.license	publ-mit-pod	en
dc.rights.license	publ-mit-pod	de
dc.rights.uri	http://opus.uni-hohenheim.de/doku/lic_mit_pod.php
dc.subject	Innovation network	en
dc.subject	Knowledge diffusion	en
dc.subject	Agent-based simulation	en
dc.subject	Scale free network	en
dc.subject.ddc	330
dc.subject.gnd	Netzwerk	de
dc.subject.gnd	Simulation	de
dc.subject.gnd	Wissen	de
dc.title	Simulating knowledge diffusion in four structurally distinct networks : an agent-based simulation model	de
dc.type.dcmi	Text	de
dc.type.dini	WorkingPaper	de
local.access	uneingeschränkter Zugriff	en
local.access	uneingeschränkter Zugriff	de
local.bibliographicCitation.publisherPlace	Universität Hohenheim	de
local.export.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}, }
local.export.bibtexAuthor	Kudic, Muhamed and Mueller, Matthias and Bogner, Kristina et al.
local.export.bibtexKey	Kudic2015
local.export.bibtexType	@techreport
local.faculty.number	3	de
local.institute.number	520	de
local.opus.number	1101
local.series.issueNumber	2015,05
local.series.title	Hohenheim discussion papers in business, economics and social sciences
local.university	Universität Hohenheim	de
local.university.faculty	Faculty of Business, Economics and Social Sciences	en
local.university.faculty	Fakultät Wirtschafts- und Sozialwissenschaften	de
local.university.institute	Institute for Economics	en
local.university.institute	Institut für Volkswirtschaftslehre	de

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