On Novel Peer Review System for Academic Journals: Experimental Study Based on Social Computing [article]

Li Liu, Qian Wang, Zong-Yuan Tan, Ning Cai
<span title="2021-11-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For improving the performance and effectiveness of peer review, a novel review system is proposed, based on analysis of peer review process for academic journals under a parallel model built via Monte Carlo method. The model can simulate the review, application and acceptance activities of the review systems, in a distributed manner. According to simulation experiments on two distinct review systems respectively, significant advantages manifest for the novel one.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06099v1">arXiv:2111.06099v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h34g2zrievcb7ftm4spoguxtbq">fatcat:h34g2zrievcb7ftm4spoguxtbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211120193502/https://arxiv.org/ftp/arxiv/papers/2111/2111.06099.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/2e/e72e3befec77989f523c1f6a085c8d851a445536.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06099v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>