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dc.contributor.authorRana, Omer F.
dc.contributor.authorHinze, Annika
dc.date.accessioned2008-11-27T01:12:02Z
dc.date.available2008-11-27T01:12:02Z
dc.date.issued2004
dc.identifier.citationRana, O. F. & Hinze, A. (2004). Trust and reputation in dynamic scientific communities. IEEE Distributed Systems Oline, 5(1), 8.en_US
dc.identifier.urihttps://hdl.handle.net/10289/1477
dc.description.abstractThe formation of collaboration networks (or communities) is an important latent effect in many computational science undertakings. Generally, collaboration networks bring together participants who wish to achieve some common goal or outcome (often over short time frames). Increasingly, scientific collaborations are becoming interdisciplinary, and scientists are working in informal collaborations to solve complex problems that require multiple types of skills. Such networks generally might consist of participants with complementary or similar skills, who might decide to collaborate to solve more efficiently a single large problem. We argue that, given the diverse skills that such collaborations involve, deciding which partners to cooperate with is both critical and difficult. Two particularly important factors in this process are trust and reputation.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE Educational Activities Department, Piscataway, NJ, USAen_US
dc.relation.urihttp://www2.computer.org/portal/web/csdl/doi/10.1109/MDSO.2004.1270714en_US
dc.rightsThis article has been published in the journal: IEEE Distributed Systems Online. Copyright © IEEE Computer Society.en_US
dc.subjectcomputer scienceen_US
dc.subjectcomputer science
dc.titleTrust and reputation in dynamic scientific communitiesen_US
dc.typeConference Contributionen_US
dc.identifier.doi10.1109/MDSO.2004.1270714en_US
dc.relation.isPartOfIEEE Distributed Systems Onlineen_NZ
pubs.begin-page1en_NZ
pubs.editionJanuaryen_NZ
pubs.elements-id31013
pubs.end-page5en_NZ
pubs.issue1en_NZ
pubs.volume5en_NZ


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