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      Trust and reputation in dynamic scientific communities

      Rana, Omer F.; Hinze, Annika
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      trust and reputation in dynamic scientific communities.pdf
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      DOI
       10.1109/MDSO.2004.1270714
      Link
       www2.computer.org
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      Rana, O. F. & Hinze, A. (2004). Trust and reputation in dynamic scientific communities. IEEE Distributed Systems Oline, 5(1), 8.
      Permanent Research Commons link: https://hdl.handle.net/10289/1477
      Abstract
      The 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.
      Date
      2004
      Type
      Conference Contribution
      Publisher
      IEEE Educational Activities Department, Piscataway, NJ, USA
      Rights
      This article has been published in the journal: IEEE Distributed Systems Online. Copyright © IEEE Computer Society.
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      • Computing and Mathematical Sciences Papers [1455]
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