共查询到20条相似文献，搜索用时 15 毫秒
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This paper builds an index family, named bi-directional h-index, to measure node centrality in weighted directed networks. Bi-directional h-index takes the directed degree centrality as the initial value and iteratively uses more network information to update the node’s importance. We prove the convergence of the iterative process after finite iterations and introduce an asynchronous updating process that provides a decentralized, local method to calculate the bi-directional h-index in large-scale networks and dynamic networks. The theoretical analysis manifests that the bi-directional h-index is feasible and significant for establishing a greater conceptual framework that includes some existing index concepts, such as lobby index, node’s h-index, c-index and iterative c-index. An example using journal citation networks indicates that the bi-directional h-index is different from directed degree centrality, directed node strength, directed h-degree and the HITS algorithm in ranking node importance. It is irreplaceable and can reflect these measures of node’s importance. 相似文献
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《Journal of Informetrics》2014,8(3):650-658
Preferential Attachment (PA) models the scientific citation process. In the PA model, a new paper attaches itself to the citation network based only on the popularity of the currently existing papers. This invariably leads to a network whose degree distribution satisfies the Power Law. Yet, empirical results show that paper age should also play a role in the citation process. In other words, when references are chosen for a new paper, the age of an existing paper may also affect the choice for citing. In this paper, we derive a generalized PA model that includes the effect of aging, with analytical solution. Such a model can be used to analyze the competing influence of preferential attachment and aging effect quantitatively in citation process and explain differences in various research domains by the extent of aging. It may also serve as a general model of network formation. 相似文献
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This paper proposes a new node centrality measurement index (c-index) and its derivative indexes (iterative c-index and cg-index) to measure the collaboration competence of a node in a weighted network. We prove that c-index observe the power law distribution in the weighted scale-free network. A case study of a very large scientific collaboration network indicates that the indexes proposed in this paper are different from other common centrality measures (degree centrality, betweenness centrality, closeness centrality, eigenvector centrality and node strength) and other h-type indexes (lobby-index, w-lobby index and h-degree). The c-index and its derivative indexes proposed in this paper comprehensively utilize the amount of nodes’ neighbors, link strengths and centrality information of neighbor nodes to measure the centrality of a node, composing a new unique centrality measure for collaborative competency. 相似文献
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在回顾组织社会网络结构理论研究的基础上,结合分析六家公司案例数据,从群体密度、群体中心性和群体中介性三个网络结构指标角度,对比研究组织内跨部门咨询网络和情报网络结构的差异性。研究发现:咨询网络的密度比情报网络的密度低,而在群体中心性和群体中介性方面,咨询网络比情报网络高。最后,针对这一结论对理解组织内部工作信息传递、组织沟通和知识管理等的作用和启示进行了探讨。 相似文献
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阐述科研合作网络弹性的概念、研究意义与应用,并以全球100所高校在图书情报学领域所组成的科研合作网络为例,选取网络最大簇规模和网络效率作为网络弹性测度指标,讨论节点点度失效、介数失效以及随机失效策略下该科研合作网络的弹性。结果显示,科研合作网络对随机节点失效具有较强的鲁棒性,其网络容错能力较强;对选择性节点失效的网络抗攻击能力较弱;网络效率相对于网络最大簇规模更适合作为科研合作网络弹性的测度指标。 相似文献
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Amber N. W. Raile Rachel K. Kim Jounghwa Choi Kim B. Serota Hee Sun Park Dong Wook Lee 《Communication Research Reports》2013,30(2):168-178
Previous research in the association between network centrality and job satisfaction has not established a consistent relationship between the two. Considering a specific type of network and multiple measures of centrality may clarify this relationship. Thus, the current study examined the association between various types of centrality in workplace friendship networks and job satisfaction in a Korean construction company. Friendship network centrality measured as closeness was positively related to job satisfaction. However, friendship centrality measured as betweenness and degree was not related to job satisfaction. The results suggest that distinguishing among measures of centrality and network type is vital for future research. 相似文献
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《Journal of Informetrics》2022,16(4):101341
We study an agent-based model for generating citation distributions in complex networks of scientific papers, where a fraction of citations is allotted according to the preferential attachment rule (rich get richer) and the remainder is allocated accidentally (purely at random, uniformly). Previously, we derived and analysed such a process in the context of describing individual authors, but now we apply it to scientific journals in computer and information sciences. Based on the large DBLP dataset as well as the CORE (Computing Research and Education Association of Australasia) journal ranking, we find that the impact of journals is correlated with the degree of accidentality of their citation distribution. Citations to impactful journals tend to be more preferential, while citations to lower-ranked journals are distributed in a more accidental manner. Further, applied fields of research such as artificial intelligence seem to be driven by a stronger preferential component – and hence have a higher degree of inequality – than the more theoretical ones, e.g., mathematics and computation theory. 相似文献
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作者共现网络的科学研究结构揭示能力比较研究 总被引：1，自引：0，他引：1
作者共现网络在科学研究领域结构分析中具有非常重要的作用,本文构建了作者合作、作者共被引、作者文献耦合、作者关键词耦合及作者期刊耦合五种网络,利用层次聚类和网络关联分析比较不同共现网络揭示科学研究结构的能力。通过层次聚类发现：作者文献耦合网络的准确性和精确性最高,作者共被引网络和作者合作网络其次,作者关键词耦合网络的结果容易受到干扰,作者期刊耦合网络的分析效果较差。通过网络关联分析发现：作者合作网络与其他网络的相关性都相对较低,与其他网络发现的角度不同;作者文献耦合网络与其他几种网络之间的相关性最高,对其他网络分析结果的替代性较强,多种方法结合运用更能反映科学研究的实际结构。本文还讨论了共现网络子结构研究中凝聚子群分析及中心性指标的适用性问题。图5。表4。参考文献16。 相似文献
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Despite its rising position as a first-class research object, scientific software remains a marginal object in studies of scholarly communication. This study aims to fill the gap by examining the co-mention network of R packages across all Public Library of Science (PLoS) journals. To that end, we developed a software entity extraction method and identified 14,310 instances of R packages across the 13,684 PLoS journal papers mentioning or citing R. A paper-level co-mention network of these packages was visualized and analyzed using three major centrality measures: degree centrality, betweenness centrality, and PageRank. We analyzed the distributive patterns of R packages in all PLoS papers, identified the top packages mentioned in these papers, and examined the clustering structure of the network. Specifically, we found that the discipline and function of the packages can partly explain the largest clusters. The present study offers the first large-scale analysis of R packages’ extensive use in scientific research. As such, it lays the foundation for future explorations of various roles played by software packages in the scientific enterprise. 相似文献
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Collaboration networks have primarily been studied in developed economies. In this paper, we present a comprehensive analysis of co-inventor networks in a small but thriving OECD economy in Latin America: Chile. Using a dataset for patents granted in the country between 1989 and 2018, we study a variety of statistical properties for five different co-inventor networks. We show that these networks exhibit power-law, small-world, and preferential attachment properties, all of which have been used to describe networks in more advanced economies. We also highlight some apparent differences in collaboration patterns between networks (and inventors) and we reveal the precarious nature of the network of local inventors by confirming the community structure property. Evidence for strong positive autocorrelation between highly and lowly productive inventors is presented via methods used in spatial econometrics. Our results show that the inventor system in Chile is highly fragmented, which emphasizes the need for strong government intervention in steering research funding, and for more collaboration between inventors, especially local ones. 相似文献
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[目的/意义] 研究国内阅读推广领域内的论文合著情况,寻找作者之间的合作关系,并深入研究作者间的潜在合作关系,以期推动阅读推广领域的合作研究。[方法/过程] 在外在合作关系的研究方面,基于社会网络分析法对合作网络进行节点中心性测度,从点度中心性、接近中心性、中间中心性3个属性出发,对国内阅读推广领域内作者之间合作关系进行系统分析; 在潜在合作关系研究层面,采用 TF-IDF关键词加权的作者关键词耦合强度算法,对核心作者群122名作者的潜在合作关系进行挖掘,同时使用 UCINET和 NETDRAW软件对关系网络进行分析。[结果/结论] 揭示国内阅读推广领域作者现存合作关系网络特点,验证该领域合作仍存在潜力,为领域内作者合作方向提供新思路,推动更高质量研究成果的产出。 相似文献
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[目的/意义]通过对知识网络中心性的动态分析,揭示领域知识发展过程的规律与模式。此类探究对于洞悉知识发展过程中的衍生、交叉、融合等现象具有重要意义。[方法/过程]以复杂网络分析中的中心性分析技术为主要研究方法,基于领域关键词共现关系构建领域知识网络。从核心涌现性、桥接控制性、关联紧密性3个方面,对特定领域知识发展过程进行时间序列的动态跟踪与分析。[结果/结论]研究结果表明,知识关联关系的增长速度远高于文献与关键词的增长速度;领域中知识的核心涌现程度呈波动状态发展;领域知识之间的桥接控制程度随时间推移呈上升趋势;领域中知识间的关联紧密性在时间轴上逐渐松散。这些领域知识演化规律的揭示,有助于把握领域知识演进的发展脉络,对于揭示知识发展模式与规律具有积极的促进作用。 相似文献
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Discursive knowledge emerges as codification in flows of communication. The flows of communication are constrained and enabled by networks of communications as their historical manifestations at each moment of time. New publications modify the existing networks by changing the distributions of attributes and relations in document sets, while the networks are self-referentially updated along trajectories. Codification operates reflexively: the network structures are reconstructed from the perspective of hindsight. Codification along different axes differentiates discursive knowledge into specialties. These intellectual control structures are constructed bottom-up, but feed top-down back upon the production of new knowledge. However, the forward dynamics of diffusion in the development of the communication networks along trajectories differs from the feedback mechanisms of control. Analysis of the development of scientific communication in terms of evolving scientific literatures provides us with a model which makes these evolutionary processes amenable to measurement. 相似文献
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《Journal of Informetrics》2022,16(2):101280
International mobility in academia can enhance the human and social capital of researchers and consequently their scientific outcome. However, there is still a very limited understanding of the different mobility patterns among scholars with various socio-demographic characteristics. By studying these differences, we can detect inequalities in access to scholarly networks across borders, which can cause disparities in scientific advancement. The aim of this study is twofold. First, we investigate to what extent individuals’ factors (e.g., country, career stage, and field of research) associate with the mobility of male and female researchers. Second, we explore the relationship between mobility and scientific activity and impact. For this purpose, we used a bibliometric approach to track the mobility of authors. To compare the researchers’ scientific outcomes, we considered the number of publications and received citations as indicators, as well as the number of unique co-authors in all their publications. We also analyzed the co-authorship network of researchers and compared centrality measures of “mobile” and “non-mobile” researchers. Results show that researchers from North America and Sub-Saharan Africa, particularly female ones, have the lowest, respectively, highest tendency towards international mobility. Having international co-authors increases the probability of international movement. Our findings uncover gender inequality in international mobility across scientific fields and countries. Across genders, researchers in the Physical sciences have the most and in the Social sciences the least rate of mobility. We observed more mobility for Social scientists at the advanced career stage, while researchers in other fields prefer to move at earlier career stages. Also, we found a positive correlation between mobility and scientific outcomes, but no apparent difference between females and males. Indeed, researchers who have started mobility at the advanced career stages had a better scientific outcome. Comparing the centrality of mobile and non-mobile researchers in the co-authorship networks reveals a higher social capital advantage for mobile researchers. 相似文献
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高层次科技人才学术合作网络研究 总被引：1，自引：0，他引：1
对2009 年获得自然科学奖项目主要完成人的学术合作进行调研,采用社会网络分析方法,对主要完成人之间
的合作关系、SCI 论文合著情况、合作的规模和范围进行分析,并通过合作网络平均路径和直径、网络合作度和度分布、
聚类系数、网络密度和中心性、无标度特性等定量学术合作网络特性分析,得出以下结论：重大科学发现需要较长时间
的沉淀;整体合作网络为松散网络,合作以机构内为主,随着地域的扩展逐渐减弱;学术合作网络存在三八原则;合作
网络度服从幂率分布。提出重视团队建设,鼓励合作,以及科研机构和科技人才不能急功近利, 相似文献
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《Journal of Informetrics》2023,17(1):101372
Based on complementarity in terms of factors such as skill and knowledge, researchers might build long-term partnerships with one another during their scientific careers. It has been shown that such relationships have a significant positive impact on researchers’ scientific performance. However, the preferential connection mechanism in collaboration networks actually suggests the unequal positions of participants in the process of scientific collaboration. This study argues that this phenomenon is very similar to the symbiosis function in the natural world. Hence, this work provides a novel interpretation of scientific collaboration patterns from the perspective of symbiosis. In more detail, long-term collaboration relationships are investigated based on the scope of an academician dataset with multiple fields and an economic dataset. With the aid of a quantitative metric for symbiosis degree, six meta-patterns of the short-term evolution of symbiosis degree are proposed. Furthermore, by exploring the evolution of meta-patterns, four scientific collaboration patterns are summarized according to the common characteristics as follows: leading growth, continuous leadership, chasing each other, and standing on equal footing. Extensive experimental results on an academician dataset with multiple fields show that the collaboration network evolution of four collaboration patterns is consistent with our summarized characteristics based on symbiosis. This indicates that our symbiosis-based framework can be used to effectively interpret the developmental and evolutionary trajectories of scientific collaboration. 相似文献