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1.
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   

2.
指出科学合作网络中节点重要性鉴别通常是利用社会网络分析中的节点程度中心性或中介中心性来进行。这类指标并未考虑科学合作网络中的引文特性,因而并不能完全体现节点在合作网络中的重要性。比较和分析科学合作网络中各种节点影响力指标,并在B-rner提出的引用强度指标基础上进一步提出节点合作收益指标,最后以禽流感合作网络为例评测和分析科学合作网络中具有重要意义的节点。  相似文献   

3.
We analyze whether preferential attachment in scientific coauthorship networks is different for authors with different forms of centrality. Using a complete database for the scientific specialty of research about “steel structures,” we show that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness centrality. During the growth of a network, preferential attachment shifts from (local) degree centrality to betweenness centrality as a global measure. An interpretation is that supervisors of PhD projects and postdocs broker between new entrants and the already existing network, and thus become focal to preferential attachment. Because of this mediation, scholarly networks can be expected to develop differently from networks which are predicated on preferential attachment to nodes with high degree centrality.  相似文献   

4.
Extensive literature demonstrates how the copying of references (links) can lead to the emergence of various structural properties (e.g., power-law degree distribution and bipartite cores) in bibliographic and other similar directed networks. However, it is also well known that the copying process is incapable of mimicking the number of directed triangles in such networks; neither does it have the power to explain the obsolescence of older papers. In this paper, we propose RefOrCite, a new model that allows for copying of both the references from (i.e., out-neighbors of) as well as the citations to (i.e., in-neighbors of) an existing node. In contrast, the standard copying model (CP) only copies references. While retaining its spirit, RefOrCite differs from the Forest Fire (FF) model in ways that makes RefOrCite amenable to mean-field analysis for degree distribution, triangle count, and densification. Empirically, RefOrCite gives the best overall agreement with observed degree distribution, triangle count, diameter, h-index, and the growth of citations to newer papers.  相似文献   

5.
[目的/意义] 针对复杂网络中的重要节点的识别,设计一种节点中心性算法,在传染病防控、舆情监控、产品营销、人才发现等方面发挥作用。[方法/过程] 同时考虑节点的高影响力邻居的数量及其总体影响,提出HHa节点中心性算法,在真实网络和人工网络上,使用SIR传染病模型模拟信息传播过程,采用单调函数M和肯德尔相关系数作为评价指标验证HHa中心性算法的有效性、准确性以及稳定性。[结果/结论] 实验表明,与7种经典的中心性算法相比,HHa中心性算法得出的排序结果M值为0.999等,排名第2;肯德尔系数为0.845等,高于其他算法0.15左右,排名第1且表现稳定。采用HHa中心性算法识别网络中的重要节点具备可行性。  相似文献   

6.
Collaboration can be described using layered systems such as the article–author–institute–country structure. These structures can be considered ‘cascades’ or ‘chains’ of bipartite networks. We introduce a framework for characterizing and studying the intensity of collaboration between entities at a given level (e.g., between institutions). Specifically, we define the notions of significant, essential and vital nodes, and significant, essential and vital sub paths to describe the spread of knowledge through collaboration in such systems. Based on these notions, we introduce relative and absolute proper essential node (PEN) centrality as indicators of a node's importance for diffusion of knowledge through collaboration.We illustrate these concepts in an illustrative example and show how they can be applied using a small real-world example. Since collaboration implies knowledge sharing, it can be considered a special form of knowledge diffusion.  相似文献   

7.
基于人际网络节点中心度的竞争对手分析   总被引:24,自引:5,他引:24  
本文认为可以用人际网络节点的中心度指标来分析竞争对手。网络节点的中心程度可以由度中心度、最近距离中心度、路中心度等指标从不同角度来说明,本文依次探讨了竞争情报工作者如何利用各种不同的中心度指标对竞争对手企业的内部人际网络、基于供需链的人际网络、基于战略联盟的人际网络的各节点做出正确的竞争策略分析。  相似文献   

8.
文章介绍了“结构洞”的相关概念和理论,从结构洞指数和中介中心性指数两个方面论述了结构洞的测度方法,分析了组织社会网络中存在的结构洞所能带来的结构位置利益及其对组织隐性知识共享的影响,最后以一家高新技术企业研发部门内的社会网络为例,利用社会网络分析方法对组织社会网络中的结构洞对组织隐性知识共享的影响进行了实证研究.  相似文献   

9.
The identification and ranking of vital nodes in complex networks have been a critical issue for a long time. In this paper, we present an extension of existing disruptive metrics and introduce new ones, namely the disruptive coefficient (D) and 2-step disruptive coefficient (2-step D), as innovative tools for identifying critical nodes in complex networks. Our approach emphasizes the importance of disruptiveness in characterizing nodes within the network and detecting their criticality. Our new measures take into account both prior and posterior information of the focal nodes, by evaluating their ability to disrupt the previous network paradigm, setting them apart from traditional measures. We conduct an empirical analysis of four real-world networks to compare the rankings or identification of nodes using D and 2stepD with those obtained from four renowned benchmark measures, namely, degree, h-index, PageRank, and the CD index. Our analysis reveals significant differences between the nodes identified by D and 2stepD and those identified by the benchmark measures. We also examine the correlation coefficient and efficiency of the metrics and find that D and 2stepD have significant correlations with the CD index, but have weak correlations with the benchmark measures. Furthermore, we show that D and 2stepD outperform CD index and random ways in intentional attacks. We find power law distributions for D, 2stepD, and CD, indicating a small number of highly disruptive nodes and a large number of less disruptive nodes in the networks. Our results suggest that D and 2stepD are capable of providing valuable and distinct insights for identifying critical nodes in complex networks.  相似文献   

10.
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   

11.
以国内最大的轻博客网站——点点网为研究对象,根据点点网用户间兴趣关系进行社区划分,通过统计兴趣社区的拓扑特性,发现其都具有小世界和无标度特性,说明有少数用户在信息传播中起着至关重要的作用。之后利用节点中心性测量方法进行意见领袖的识别,分析4个已有的中心性指标——连接度、中介度、接近度和核数在点点网意见领袖识别中的不足,构建新的意见领袖识别指标,并通过实验证实该指标具有更高的准确性。  相似文献   

12.
[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   

13.
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   

14.
We propose a simple stochastic model for an author's production/citation process in order to investigate the recently proposed h-index for measuring an author's research output and its impact. The parametric model distinguishes between an author's publication process and the subsequent citation processes of the published papers. This allows us to investigate different scenarios such as varying the production/publication rates and citation rates as well as the researcher's career length. We are able to draw tentative results regarding the dependence of Hirsch's h-index on each of these fundamental parameters. We conjecture that the h-index is, according to this model, (approximately) linear in career length, log publication rate and log citation rate, at least for moderate citation rates.  相似文献   

15.
管理信息系统领域的合著网络中作者的广度中心度分析   总被引:1,自引:0,他引:1  
基于2009年最新提出的广度中心度的概念及计算方法,对世界顶级的三种管理信息系统期刊中的数据构建合著网络,进行成分分析,在此基础上计算出5个成分中的作者的广度中心度,并对广度中心度分值较高的一些作者的背景及其合作者的研究领域进行详细的调查和分析。结果表明,管理信息系统作为一门综合性较强的学科,其研究者整体的合作行为是较活跃的;而且在广度中心度分值较高的作者中,有很多都是管理信息系统领域的知名专家学者,他们与很多领域的学者有过合作。因此,广度中心度确实可以用来评价专家学者的重要程度。  相似文献   

16.
p 指数运用于人才评价的有效性实证研究   总被引:2,自引:0,他引:2  
h指数用于高发文、高引用的学者评价是有效的,但对低发文、高引用的学者进行评价存在缺陷,且数值易于雷同,不易区分。p指数在学者研究绩效评价方面具有同h指数相一致的维度,它不仅考虑学者的被引次数(C),而且考虑学者的研究质量指标——平均被引率(C/N)。以图书情报与文献学科领域49位专家为例,对比分析专家的发文量(N)、被引次数(C)、平均被引率、专家h指标、g指数、p指数,并进行相关性分析。结论:p指数优于现有的h指数、g指数,更具有评价的合理性,应在更大范围内进一步使用。  相似文献   

17.
I describe a simple modification which can be applied to any citation count based index (e.g. Hirsch’s h-index) quantifying a researcher’s publication output. The key idea behind the proposed approach is that the merit for the citations of a paper should be distributed amongst its authors according to their relative contributions. In addition to producing inherently fairer metrics I show that the proposed modification has the potential to normalize partially for the unfair effects of honorary authorship and thus discourage this practice.  相似文献   

18.
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   

19.
采用文献计量学中的作者共现方法和社会网络分析技术,对大学学术科研团队的成长轨迹和演化趋势进行研究。以科研合作关系为研究对象,通过团队网络组织结构图的变化过程直观地再现团队成长轨迹和演化过程,基于中间中心度指数对团队的核心成员及其结构进行揭示,并从目标引导这一角度分析团队成长的动力因素。  相似文献   

20.
The h-index of Scopus is used as an important and practical instrument in analyzing the scientific level of researchers. In this research, 6 effective items (including author’s order, quality of publication source, quality of citation source, type of citation, research scopes of the authors and the regular scope of citation source) were considered in order to increase the accuracy and equity of research and also the optimization of scientometrics. In order to find the actual impact of each item, a relation with a default coefficient was considered, and all effective items were presented after evaluating the influence of them on the desired coefficients. Here, the introduced effective factors were separately investigated for 20 Iranian authors who are randomly selected. The analysis of the results showed that by applying the effective factors, the h-index of authors was obtained on the basis of real and scientific criteria; thus, the mean of all effective factors is introduced as modified h-index. Among considered authors, the lowest reduction in h-index was 10.67% and the highest reduction was 37.25% (SD was 6.5). This reduction was obtained in comparison with their h-index of Scopus, and it demonstrates that the authors, who have less reduction in their h-index value, have more scientific and honest approach to research.  相似文献   

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