Modelling collaboration using complex networks

Authors:
Christopher Durugbo;Windo Hutabarat;Ashutosh Tiwari;Jeffrey R. Alcock
Affiliations:
School of Applied Sciences, Cranfield University, Bedfordshire MK43 0AL, United Kingdom;School of Applied Sciences, Cranfield University, Bedfordshire MK43 0AL, United Kingdom;School of Applied Sciences, Cranfield University, Bedfordshire MK43 0AL, United Kingdom;School of Applied Sciences, Cranfield University, Bedfordshire MK43 0AL, United Kingdom
Venue:
Information Sciences: an International Journal
Year:
2011

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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.