An Algorithm to Determine Peer-Reviewers
arXiv:cs/0605112 · doi:10.1145/1458082.1458127
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.
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
References in corpus (6)
- Who is the best connected scientist? A study of scientific coauthorship networks
- Technical Paper Recommendation: A Study in Combining Multiple Information Sources
- The Convergence of Digital-Libraries and the Peer-Review Process
- Grammar-Based Random Walkers in Semantic Networks
- Simulating Network Influence Algorithms Using Particle-Swarms: PageRank and PageRank-Priors
- Mapping the Bid Behavior of Conference Referees
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- Mathematical Modeling of Competitive Group Recommendation Systems with Application to Peer Review Systems