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Lookup NU author(s): Steve Lynden
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The concept of a "community" is often an essential feature of many existing scientific collaborations. Collaboration networks generally involve bringing together participants who wish to achieve some common outcome. Scientists often work in informal collaborations to solve complex problems that require multiple types of skills. Increasingly, scientific collaborations are becoming interdisciplinary - requiring participants who posses different skills to come together. Such communities may be generally composed of participants with complimentary or similar skills - ho may decide to collaborate to more efficiently solve a single large problem. If such a community wishes to utilise computational resources to undertake their work, it is useful to identify metrics that may be used to characterise their collaboration. Such metrics are useful to identify particular types of communities, or more importantly, particular features of communities that are likely to lead to successful collaborations as the number of participants (or the resources they are sharing) increases. © Springer-Verlag Berlin Heidelberg 2005.
Author(s): Rana OF, Akram A, Lynden SJ
Editor(s): Fischer, K., Florian, M., Malsch, T.
Publication type: Book Chapter
Publication status: Published
Book Title: Socionics: Scalability of Complex Social Systems
Year: 2005
Volume: 3413
Pages: 68-83
Print publication date: 01/01/2005
Series Title: Lecture Notes in Computer Science
Publisher: Springer
Place Published: Berlin; New York
URL: http://dx.doi.org/10.1007/11594116_5
DOI: 10.1007/11594116_5
Library holdings: Search Newcastle University Library for this item
ISBN: 9783540307075