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Flexible Schema for Prediction of Collaborator’s Credits

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Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10067))

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Abstract

For predicting the contributions of the collaborators of a scientific activity, such as a paper or a project, the First and Others (F&O) approach has been developed with the consideration of both a flexible formula by changing tuning parameters and weight preference to individual collaborator. This paper extends and generalizes the F&O approach to develop a meta flexible schema of “First and Others” credit-assignment mechanism, which is then proposed to modify geometric counting for amplified applications. With this extension, it makes the traditional approach more robust with flexible profiles. Compared to a set of survey data from medicine, the performance of the proposed flexible schemas is improved significantly.

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Acknowledgments

This research is partially supported by the Brazilian National Council for Scientific and Technological Development (CNPq Proc. 304903/2013-2). The author also thanks the review and suggestions from Mr. Zhai Ziyang and other colleagues.

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Authors and Affiliations

  1. TransLab, Department of Computer Science, University of Brasilia, C.P. 4466, Brasilia - DF, 70910-900, Brazil

    Li Weigang

Authors
  1. Li Weigang
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Correspondence to Li Weigang .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Colorado State University, Fort Collins, Colorado, USA

    Indrakshi Ray

  3. University of the West of Scotland, Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

  4. Indian Institute of Information Technology and Management Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

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Weigang, L. (2016). Flexible Schema for Prediction of Collaborator’s Credits. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy and Anonymity in Computation, Communication and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10067. Springer, Cham. https://doi.org/10.1007/978-3-319-49145-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-49145-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49144-8

  • Online ISBN: 978-3-319-49145-5

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