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An algorithm to determine peer-reviewers

2006/05/31 by Marko A. Rodriguez, Johan Bollen · 3 citations
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Expert finding and Q&A systems #Wikis in Education and Collaboration #cs.AI #cs.DL #cs.DS

paper · pdf · doi:10.1145/1458082.1458127

published as Conference on Information and Knowledge Management (CIKM), ACM, pages 319-328, (October 2008) · Rodriguez, M.A., Bollen, J., "An Algorithm to Determine Peer-Reviewers", Conference on Information and Knowledge Management, in press, ACM, LA-UR-06-2261, October 2008; ISBN:978-1-59593-991-3

arxiv created 2008/07/15 · openalex publication_date 2008/10/26 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

The peer-review process is the most widely accepted certification mechanism for officially accepting the written results of researchers within the scientific community. An essential component of peer-review is the identification of competent referees to review a submitted manuscript. This article presents an algorithm to automatically determine the most appropriate reviewers for a manuscript by way of a co-authorship network data structure and a relative-rank particle-swarm algorithm. This approach is novel in that it is not limited to a pre-selected set of referees, is computationally efficient, requires no human-intervention, and, in some instances, can automatically identify conflict of interest situations. A useful application of this algorithm would be to open commentary peer-review systems because it provides a weighting for each referee with respects to their expertise in the domain of a manuscript. The algorithm is validated using referee bid data from the 2005 Joint Conference on Digital Libraries.

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