{"title":"RETRACTION: Linkboost: A Link Prediction Algorithm to Solve the Problem of Network Vulnerability in Cases Involving Incomplete Information","authors":"Complexity","doi":"10.1155/cplx/9873491","DOIUrl":null,"url":null,"abstract":"<p>RETRACTION: C. Jia, J. Ma, Q. Liu, Y. Zhang, and H. Han, “Linkboost: A Link Prediction Algorithm to Solve the Problem of Network Vulnerability in Cases Involving Incomplete Information,” <i>Complexity</i> (2020): 7348281, https://doi.org/10.1155/2020/7348281.</p><p>The above article, published online on 08 April 2020 in Wiley Online Library (https://wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor-in-Chief, Dr. Gonzalo Farias; and John Wiley & Sons Ltd.</p><p>The retraction has been agreed due to errors noted by the authors in the network attack experiments performed. Specifically, the proportion of attacked/removed nodes was miscalculated, leading to errors in the results and conclusions presented in the article.</p><p>The authors apologise and agree to the retraction.</p>","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2025 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/9873491","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complexity","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/cplx/9873491","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
RETRACTION: C. Jia, J. Ma, Q. Liu, Y. Zhang, and H. Han, “Linkboost: A Link Prediction Algorithm to Solve the Problem of Network Vulnerability in Cases Involving Incomplete Information,” Complexity (2020): 7348281, https://doi.org/10.1155/2020/7348281.
The above article, published online on 08 April 2020 in Wiley Online Library (https://wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor-in-Chief, Dr. Gonzalo Farias; and John Wiley & Sons Ltd.
The retraction has been agreed due to errors noted by the authors in the network attack experiments performed. Specifically, the proportion of attacked/removed nodes was miscalculated, leading to errors in the results and conclusions presented in the article.
The authors apologise and agree to the retraction.
期刊介绍：
Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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