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《Information processing & management》2023,60(4):103405
Various keyword network methods are used to map scientific fields, but few studies have considered the semantic roles of keywords in such networks. This study proposes a term function–aware keyword citation network to fill this research limitation. Specifically, we first used a term function identification method to identify research questions and methods from scientific articles. Then, we constructed a question-method term citation network to represent the correlation structure of keywords. Next, we explored the topology characteristics, question-method bipartite network, and knowledge community structure of the generated network to validate its superiority in science mapping analysis. A dataset of 299,567 conference proceedings collected from the Association for Computing Machinery (ACM) digital library is used to evaluate the effectiveness of our methods. The results show that the term function identification model based on Bidirectional Encoder Representations from Transformers (BERT) achieves a score of 0.90 F1. And the question-method term citation network outperforms existing keyword citation methods in revealing association patterns between scientific knowledge and improving the interpretability of the knowledge structure of the computing field. We believe that our work expands the methodology of keyword citation network and science mapping analysis and provides guidance for considering the term function in various scenarios. 相似文献
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《Information processing & management》2020,57(3):102230
Although more than a million academic papers have been posted on Facebook, there is little detailed research about which fields or cross-field issues are involved and whether there are field or public interest relationships between Facebook mentions and future citations. In response, we identified health and biomedical scientific papers mentioned on Facebook and assigned subjects to them using the MeSH and Science Metrix journal classification schema. Multistage adaptive LASSO and unpenalized least-squares regressions were used to model Facebook mentions by fields and MeSH terms. The fields Science and Technology, General and Internal Medicine, Complementary and Alternative Medicine, and Sport Sciences produced higher Facebook mention counts than average. However, no MeSH cross-field issue differences were found in the rate of attracting Facebook mentions. The relationship between Facebook mentions and citations varies between both fields and MeSH cross-field issues. General and Internal Medicine, Cardiovascular System and Hematology and Developmental Biology have strongest correlations between Facebook mentions and citations, probably due to high citation rates and high Facebook visibility in these areas. 相似文献
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《Information processing & management》2022,59(3):102924
The existing credit allocation method of coauthored research paper could not tell the whole story about who did what and the acknowledgment of different parts of the article. When an article is cited, the first author often gets the primary or even full credit, even if the citing paper cites the method part of the article, which is mainly contributed by the second author. This study proposes a context-based author credit (CAC) model to allocate individual credit to coauthors in a multi-authored paper. In the proposed model, coauthor's credit is conceptualized as a directed and weighted connection between citations and contributor roles, where the relationship was decided by citation context. Citation strength was used in the proposed model instead of the number of citing papers which can make the credit of research more precise. The proposed approach can complement existing measures of author credit analysis based on author signature order. In our experiments, the model was validated by fitting to empirical data, a group of highly productive authors’ articles and their citing papers, from PLOS Medicine. The results show that CAC model outperforms prior alternatives such as normal, fractional, harmonic counting and author contribution solely based on contribution list in terms of reflecting the specific performance of coauthors. Besides, the CAC model has a certain sensitivity to the contributions of lower-ranked authors, breaking through the restriction of the author's signature order. This paper also provides the new application of this model in author academic evaluation. 相似文献
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《科学对社会的影响》2007,(2)
化问题张璐;张庆祥;延安大学数学与计算机科学院,延安大学数学与计算机科学院 陕西延安716000,陕西延安716000优化;;分层蚁群算法;;全局最优提出了一种改进的群算法用于求解优化问题,首先建立N个低层子种群,用一定数量的蚂蚁在这N个解空间中先随机搜索,然后模拟蚂蚁寻食的方式通过信息素来指引搜索,得到N个结果后在用蚁群算法求解,并给出了具体的算法。A Hierarchic Ant Colony Algorithm for OptimizationZHANG Lu,ZHANG Qing-xiang (Dept.Mathematics and Computer Science,Yan'an Uuiversity,Yan'an,Shannxi 716000)Ant Colony Algorithm(ACA) is brand-new bionic simulated evolutionary algorithm,which has been applied to many fields.Ant Col 相似文献
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近地警告系统属于飞机导航系统的一个子系统。近地警告系统的任务是在飞机起飞或复飞和进近着陆阶段,且无线电高度低于2450英尺时起作用。如果飞机接近地面时出现不安全的情况,近地警告系统就在驾驶舱内发出目视和音响两种报警信号,使飞行员知道有不安全情况存在,以提醒飞行员采取有效措施,避免触地事故发生。 相似文献
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《中国科学院院刊(英文版)》2006,(3)
Amicro-energy system only a few centimeters in diam- eter has been invented by CAS researchers. Experts say it has a bright application prospect. Fi r st ad vanc ed by US scholars, the concept of a micro energy system is to compress a conventional power p… 相似文献
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本文对现代汉语中,"好容易"和"好不容易"以及"好热闹"和"好不热闹"进行了全面的考察,试图从语音形式和语法结构的规律,探索其产生的原因和使用的范围。并运用信息论中的否定羡余理论和元语言理论试图对其进行分析。 相似文献