Modelling collaboration using complex networks

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dc.contributor.author Durugbo, Christopher -
dc.contributor.author Hutabarat, Windo -
dc.contributor.author Tiwari, Ashutosh -
dc.contributor.author Alcock, Jeffrey R. -
dc.date.accessioned 2012-08-04T23:01:20Z
dc.date.available 2012-08-04T23:01:20Z
dc.date.issued 2011-08-01T00:00:00Z -
dc.identifier.citation Christopher Durugbo, Windo Hutabarat, Ashutosh Tiwari and Jeffrey R. Alcock. Modelling collaboration using complex networks. Information Sciences,Volume 181, Issue 15, 1 August 2011, Pages 3143-3161
dc.identifier.issn 0020-0255 -
dc.identifier.uri http://dx.doi.org/10.1016/j.ins.2011.03.020 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/5744
dc.description.abstract Collaboration means working together to achieve a common goal or to solve a problem, and in modern businesses, it is an important factor for information sharing and quality. This is due to the ability of collaborations to shape the structure and behaviour of organisations through the pooling of expertise and standardising of work patterns. Grounded on complex network theory and collaborative design research, a mathematical model of information flow for analysing collaboration in organisations is proposed in this article. The model defines concepts for characterising organisational structures for collaboration and proposes indicators for assessing organisational behaviour in terms of collaboration within organisations. The article concludes by discussing the applications and limitations of the proposed model. en_UK
dc.publisher Elsevier Science B.V., Amsterdam. en_UK
dc.title Modelling collaboration using complex networks en_UK
dc.type Article -


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