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基于修正Shapley值法的配送中心动态联盟利益分配研究 总被引：2，自引：0，他引：2
配送中心动态联盟已经成为大多数配送中心的发展战略,而动态联盟成功的关键问题之一就是利益的分配。本文在Shapley值法基础上,综合考虑了"成本、贡献、风险"3个因素,分别采用公平理论、Shapley值法、综合评判计算了基于成本、贡献、风险的利益分配值,然后进行群体加权得出最终的利益分配值。这种方法对Shapley值只考虑"贡献"这一因素的不足进行了修正,使利益分配更加合理。 相似文献
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为弥补Shapley值法只考虑"贡献"的不足,考虑企业成本投入和知识溢出效应对利益分配的影响,通过加权计算来修正Shapley值。从而实现技术联盟内利益的公平分配。 相似文献
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合著论文作者的名誉分配 总被引：3，自引：0，他引：3
通过理论论证和实际调查统计,对合著论文作者的署名次序与贡献大小的关系作了定性与定量研究分析,并在研究的基础上提出一个合著论文作者名誉分配模型。 相似文献
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[目的/意义]为弥补现有作者影响力评价指标缺乏内容信息的不足,发现不同研究主题下高影响力的作者,文章给出一种基于主题内容的作者影响力评价方法。[方法/过程]以情报学领域近5年核心期刊的文献为样本,首先利用CTM模型提取样本文献的主题,获得文献作者对不同主题的贡献值;再利用K-means算法对样本文献分类,由此将文献对应的作者划分到特定主题类别下;然后,将作者在某特定主题类别的贡献值与作者发表文献的平均被引频次相结合,设计特定主题类别下作者影响力指标(Author Influence Index in Specific Topic,AII-ST);最后,根据AII-ST值对作者进行影响力排序。[结果/结论]本研究在方法上,通过CTM模型与K-means算法的结合实现了K-means算法初始聚类中心与聚类数目的双重优化;在应用中,作者评价指标AII-ST值能有效限定作者的比较范围,较好地反映作者的研究方向;新指标评价视角新颖、评价结果可靠。 相似文献
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本文基于50家创业板上市企业2010—2014年的面板数据,以不同年龄层次的人员作为研究对象,利用随机效应模型来研究不同年龄层次的人与企业经营绩效之间的关系,以期来发现员工年龄与人力资本水平之间的关系。本文得出以下结论：第一,年龄的确可以揭示人力资本变动差异,这个可以通过边际贡献变动的差异来解释;第二,企业员工的边际贡献率曲线随着年龄的变化呈现“∩”形,在31~40岁达到了贡献峰值;第三,41~50岁人会对其他人产生“挤出效应”;第四,研发投入,有利于提高员工的后职业生涯阶段的贡献。因而,企业可以通过优化或管理员工的年龄结构来改善经营绩效。
〖HT5”H〗关键词： 相似文献
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基于洛特卡定律的“科技信息资源”研究成熟度分析 总被引：1，自引：0，他引：1
洛特卡定律揭示了特定研究领域科学文献的作者数与其所著论文数之间的规律,可以表明该领域的研究状况。考虑到该定律仅统计第一作者的局限,提出了合著论文作者贡献率分配方法。针对＂科技信息资源＂这一研究领域进行了样本分析,提出了洛特卡定律常数的非线性回归方法,该常数可以表征其统计的科学领域的研究成熟度。统计分析表明,我国在＂科技信息资源＂领域的研究刚刚起步,成熟度较低,需要政府加大投入和引导,促进科技和社会的全面进步。 相似文献
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刘烜贞 《中国科技期刊研究》2012,23(6):987-991
随着h指数广泛应用于科研工作者的评价,它没有考虑合著者的缺陷也暴露出来,这影响了h指数作为评价指标的公正性。本文介绍了几种常用的考虑合著者的h指数的修正方法,并分析了各个方法的优缺点。 相似文献
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朱大明 《中国科技期刊研究》2016,27(7):698-703
【目的】为制订期刊论文作者贡献声明与署名规则提供参考依据。【方法】基于合著论文作者署名方式及其存在问题的分析,论述作者贡献声明与署名规范化的关键措施。【结果】提出了制订“论文作者贡献声明与署名规则”的建议和基本内容框架。【结论】 期刊合著论文作者署名规范及其相应的学术评价应突出作者贡献声明的重要作用,应由权威学术机构制订统一的“论文作者贡献声明与署名基本规则”。 相似文献
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为了精确、客观地评价一个著者在领域内的贡献,文章提出了基于领域贡献值的核心著者评价的方法。在一篇文章中,考虑作者位次给予贡献分配,并采用文章来源期刊综合影响因子来进行加权计算作者的领域贡献值,两者结合有效解决了采用发文量只注重量不注重质以及采用被引量带来的冷启动问题。并基于领域贡献值对合作网络进行了研究。 相似文献
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Julian Barreiro-Gomez Carlos Ocampo-Martinez Nicanor Quijano José M. Maestre 《Journal of The Franklin Institute》2017,354(14):5771-5796
This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition directions. It is proposed a solution that combines either a centralized or distributed cooperative game approach using the Shapley value to determine a proper partitioning of the system and a fair communication cost distribution. On the other hand, a decentralized non-cooperative game approach computing the Nash equilibrium is used to achieve the control objective of the resource allocation under a non-complete information topology. Furthermore, an invariant-set property is presented and the closed-loop system stability is analyzed for the non-cooperative game approach. Another contribution regarding the cooperative game approach is an alternative way to compute the Shapley value for the proposed specific characteristic function. Unlike the classical cooperative-games approach, which has a limited application due to the combinatorial explosion issues, the alternative method allows calculating the Shapley value in polynomial time and hence can be applied to large-scale problems. 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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《Information processing & management》2016,52(3):374-386
With constant growth in size of analyzable data, ranking of academic entities is becoming an attention grabbing task. For ranking of authors, this study considers the author's own contribution, as well as the impact of mutual influence of the co-authors, along with exclusivity in their received citations. The ranking of researchers is influenced by the ranking of their co-authors, more so if co-authors are seniors. Tracking the citations received by an author is also an important factor to measure standing of an author. This study proposes Mutual Influence and Citation Exclusivity Author Rank (MuICE) algorithm. We performed a sequence of experiments to calculate the MuICE Rank. First, we calculated Mutual Influence (MuInf) considering three different factors: the number of papers, the number of citations and the author's appearance as first author. Secondly, we computed MuICE incorporating all three factors of MuInf along with the exclusivity in citations received by an author. Empirically, it is shown that the proposed methods generate substantial results. 相似文献
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Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging. 相似文献
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随着学术研究的日益规范化和复杂化，合作成为增加科研产出的主要途径。本文通过问卷收集了主要院校的科研评价制度，将其与三大经济管理类期刊的论文发表数据进行匹配，基于2000-2014年间部分高校调整第一作者制度的准自然实验，采用双重差分法（DID）的设计考察了科研制度对论文合作的影响。研究发现：（1）评职称认可非第一作者的制度能够使得论文合作的概率显著提高约33.5%，而评奖励承认非第一作者的制度没有显著影响；（2）在考虑了合作的异质性后，非第一作者制度主要促进了跨校合作，对院内合作和同校跨院合作的影响不明显；（3）作用机制分析表明，这种合作效应主要源自教师面临的晋升压力。本文的结论对于推动科研评价体系改革具有重要参考价值。 相似文献
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通信作者是特殊的署名类型,存在特殊的学术不端行为。通信作者的职责是完成论文通信事宜,其不当署名具体表现为标注不适格、侵犯其他作者署名权、未履行通信作者义务。良善的通信作者制度设计可以有效预防不当署名等学术不端行为,而现有的通信作者制度难以胜任。其改革应从制定通信作者署名规则、完善通信作者奖励机制、推行合作作者贡献声明 3 个方面进行。通过精细的角色分工、公正的奖励机制、科学的责任分配等方式,减少纠纷、促进协作。 相似文献
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[目的]反映我国中文学术期刊采用国际通用学术诚信控制机制的现状。[方法]依据《中文核心期刊要目总览(2011年版)》,采用简单随机抽样法,从各个一级学科中分别抽取20%的期刊(共401种)作为研究样本,以各个期刊2015年第1期印本及其官方网站为依据,调查各期刊采用作者贡献声明、采用潜在利益冲突声明、要求研究数据公开、要求责任编辑公开的情况。[结果]样本期刊中99%以上期刊没有提供作者贡献声明,98%以上期刊未提及任何原始数据信息,没有一种样本期刊提供潜在利益冲突声明,48.38%期刊给出了每篇论文的责任编辑。[结论]我国中文学术期刊很少采用国际通用的学术诚信控制机制。建议学术期刊应全面采用学术诚信控制机制,提高对学术诚信进行细化、可操作、可检验、可比较以及可问责的检验能力。 相似文献
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我国计算机科学研究队伍低龄化表现的数量特征 总被引：4，自引：1，他引：4
对《计算机研究与发展》、《软件学报》和《计算机学报》所记录的5024个作者年龄数据进行了科学计量学分析,发现了我国计算机科学研究队伍低龄化表现的三个数量特征：青年峰突兀老年峰平缓的双峰年龄分布;青年作者比例增大与第一作者平均年龄逐年降低的趋势;第一作者低龄化及各序位作者平均年龄依次后移而递增的合作模式。 相似文献
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《Information processing & management》2022,59(3):102945
Identifying widely disseminated papers (WDPs) on social media can help to understand dissemination mechanisms of scientific papers from academia to social media and assist in the formulation of public and science policy. This study applies machine learning methods to explore the possibility of identifying WDPs and to investigate the influence mechanisms of literature-related and social media-related features. A pre-task was first conducted to investigate whether the visibility of scientific papers on social media can be predicted, and the role of various features was analyzed. Then, we defined two predictive tasks for identifying WDPs before and after they are visible on social media. The performance of eight state-of-the-art algorithms was compared in three experiments against the dataset of the oncology field, and the contribution of literature-related and social media-related features in the tasks was explained based on the Shapley additional explanations (SHAP) value. The results show that XGBoost performs better than other algorithms, especially with an F1 score of 0.988 and AUC of 0.998 in the trend prediction task. Nearly all of the literature-related features have great effects on identifying long-term disseminated papers, and most social media-related features play more significant roles in identifying broadly mentioned papers. Moreover, journal features contribute more to identifying papers of social media visibility, while paper features, especially research topics, have a greater influence on identifying WDPs. The number and proportion of academic-related Twitter users have great impacts on the scale and duration of papers’ dissemination. The number and duration of first-generation tweets play critical roles in identifying broadly mentioned and long-term disseminated papers, respectively. This study provides profound insights into the influencing factors in the dissemination of papers from the scientific community to and across social media, and helps to understand the difference in knowledge propagation between academia and the public. 相似文献
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Towards all-author co-citation analysis 总被引：3，自引：0，他引：3
The present study examines one of the fundamental aspects of author co-citation analysis (ACA): the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting: on the one hand, the traditional type that only counts the first one among a cited work’s authors, and on the other hand, a simplified approach to all-author co-citation counting that takes into account the first five authors of a cited work. Results indicate that the picture produced through this simplified all-author co-citation counting contains author groups that are more coherent, and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed. Variations of counting more than first authors are compared. 相似文献