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1.
《Journal of Informetrics》2022,16(4):101345
The rapid growth of scientific collaboration and its significant role in promoting academic productivity has attracted increasing scientific community attention. The collaboration networks have become a powerful tool for studying scientific collaboration. Collaboration networks commonly used in research treat the collaborators as equal in status. However, the roles and contributions of different collaborators are not the same. Those differences are usually reflected through the signature order of academic achievements. This paper expands the construction of scientific collaboration networks with a directed collaboration network (DCN) to describe the different roles of collaborators and the connectivity and strength of collaborations. We analyzed the theoretical properties of the DCN and constructed evaluation indexes describing the diversity of collaboration order. Based on a case study of published papers in the business field, we discuss the value of the DCN in the characterization and evaluation of scientific collaboration and compare the DCN with two other collaboration networks. We found that the DCN provides a powerful new approach for investigating collaboration laws and patterns. 相似文献
2.
顾东蕾 《中华医学图书馆杂志》2008,(6):7-10
药物基因组学是一门年轻的学科领域。该领域内相关科学研究工作者之间形成的科研合作关系网络,也具有类似许多大型合作关系网络数据库所具有的无尺度网络特性,其非连通合作网络内部具有较大连通组群的聚类特性和小世界特征等相关性质。 相似文献
3.
《Journal of Informetrics》2022,16(4):101346
Scientific collaboration is a significant behavior in knowledge creation and idea exchange. To tackle large and complex research questions, a trend of team formation has been observed in recent decades. In this study, we focus on recognizing collaborative teams and exploring inner patterns using scholarly big graph data. We propose a collaborative team recognition (CORE) model with a ”core + extension” team structure to recognize collaborative teams in large academic networks. In CORE, we combine an effective evaluation index called the collaboration intensity index with a series of structural features to recognize collaborative teams in which members are in close collaboration relationships. Then, CORE is used to guide the core team members to their extension members. CORE can also serve as the foundation for team-based research. The simulation results indicate that CORE reveals inner patterns of scientific collaboration: senior scholars have broad collaborative relationships and fixed collaboration patterns, which are the underlying mechanisms of team assembly. The experimental results demonstrate that CORE is promising compared with state-of-the-art methods. 相似文献
4.
《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
5.
[目的/意义]基于科学数据构建合作网络,并与传统出版物合作网络进行比较,从网络分析层面解读两个合作网络的差异,为科学数据管理工作提供借鉴。[方法/过程]以ClinicalTrials.gov网站的临床科学数据库为例,利用爬虫抓取该网站上传统论文题录信息以及临床试验信息的元数据并分别构建合作网络,通过复杂网络分析比较试验合作机构网络与论文合作机构网络之间的异同。[结果/结论]基于科学数据集和论文数据集的元数据构建的合作网络,与仅从论文数据集中提取元数据构建的网络相比,前者能够展现更丰富准确的合作信息,从而揭示科学数据管理和开放共享的重要性。 相似文献
6.
How does the collaboration network of researchers coalesce around a scientific topic? What sort of social restructuring occurs as a new field develops? Previous empirical explorations of these questions have examined the evolution of co-authorship networks associated with several fields of science, each noting a characteristic shift in network structure as fields develop. Historically, however, such studies have tended to rely on manually annotated datasets and therefore only consider a handful of disciplines, calling into question the universality of the observed structural signature. To overcome this limitation and test the robustness of this phenomenon, we use a comprehensive dataset of over 189,000 scientific articles and develop a framework for partitioning articles and their authors into coherent, semantically related groups representing scientific fields of varying size and specificity. We then use the resulting population of fields to study the structure of evolving co-authorship networks. Consistent with earlier findings, we observe a global topological transition as the co-authorship networks coalesce from a disjointed aggregate into a dense giant connected component that dominates the network. We validate these results using a separate, complimentary corpus of scientific articles, and, overall, we find that the previously reported characteristic structural evolution of a scientific field's associated co-authorship network is robust across a large number of scientific fields of varying size, scope, and specificity. Additionally, the framework developed in this study may be used in other scientometric contexts in order to extend studies to compare across a larger range of scientific disciplines. 相似文献
7.
我国科研机构合作网络知识扩散研究——以“生物多样性”研究为例 总被引：1，自引：0，他引：1
通过对“生物多样性”研究高产机构所构成的合作网络进行社会网络分析,揭示科研机构合作网络知识扩散规律,剖析我国当前科研合作网络知识交流、扩散的特点。认为科研合作网络已成为科研领域的常态化事物,科研合作网络的结构对知识扩散具有重要要影响,因此,有必要全面探索其自身发展演变的规律,以促进科学知识的交流与扩散,同时也为我国科研政策的发展提供支持。 相似文献
8.
Lorenzo Righetto Alessandro Spelta Emanuele Rabosio Fabio Pammolli 《Journal of Informetrics》2019,13(2):583-592
Within the perimeter of patent collaboration networks, the average distance of collaborations and the number of countries involved per each collaboration have been shown to have increased steadily in time. Less attention, though, has been devoted to assessing whether this growth of cross-country collaborations is stable in time. To address this scientific question we focus on the identification of long-term correlations (i.e. temporal persistence). Our data set consists of time series of yearly average collaboration radii and of cross-border links in the Euro-American subsystem of the global collaboration network for the period 1978–2014. To investigate the fundamental persistence properties of these time series, we use Detrended Fluctuation Analysis, a method that allows us to measure long-term correlations in detrended signals. Also, we devise a general and original procedure to assess the statistical significance of results for short time series. Our results, showing that long-term correlations do exist in the majority of our signals, reinforce the hypothesis of a diminishing role of geographical distance in technological collaborations. Results at national level show that a significant degree of heterogeneity in persistence parameters can be detected within Europe, irrespectively of the efforts towards the set-up of an integrated European Research Area. 相似文献
9.
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
10.
文章简要介绍了复杂网络的概念和科研合作网络相关知识,对生命科学领域国内561万多篇期刊论文进行了统计与合作网络分析,并从合作网络中抽取出科研机构子网络和医院子网络,针对复杂网络的几个特征进行对比性分析,找出了各个网络的不同特性,分析说明不同机构的科研合作模式。 相似文献
11.
In this paper, we examine how patterns of scientific collaboration contribute to knowledge creation and diffusion. Recent studies have shown that scientists can benefit from their position within collaborative networks by being able to receive more information of better quality in a timely fashion, and by presiding over communication between collaborators. Here we focus on the tendency of scientists to cluster into tightly knit communities, and discuss the implications of this tendency for scientific production. We begin by reviewing a new method for finding communities, and we then assess its benefits in terms of computation time and accuracy. While communities often serve as a taxonomic scheme to map knowledge domains, they also affect the way scientists engage in the creation of new knowledge. By drawing on the longstanding debate on the relative benefits of social cohesion and brokerage, we discuss the conditions that facilitate collaborations among scientists within or across communities. We show that highly cited scientific production occurs within communities, when scientists have cohesive collaborations with others from the same knowledge domain, and across communities, when scientists intermediate among otherwise disconnected collaborators from different knowledge domains. We also discuss the implications of communities for information diffusion, and show how traditional epidemiological approaches need to be refined to take knowledge heterogeneity into account and preserve the system’s ability to promote creative processes of novel recombinations of ideas. 相似文献
12.
We analyze the advent and development of eight scientific fields from their inception to maturity and map the evolution of their networks of collaboration over time, measured in terms of co-authorship of scientific papers. We show that as a field develops it undergoes a topological transition in its collaboration structure between a small disconnected graph to a much larger network where a giant connected component of collaboration appears. As a result, the number of edges and nodes in the largest component undergoes a transition between a small fraction of the total to a majority of all occurrences. These results relate to many qualitative observations of the evolution of technology and discussions of the “structure of scientific revolutions”. We analyze this qualitative change in network topology in terms of several quantitative graph theoretical measures, such as density, diameter, and relative size of the network's largest component.To analyze examples of scientific discovery we built databases of scientific publications based on keyword and citation searches, for eight fields, spanning experimental and theoretical science, across areas as diverse as physics, biomedical sciences, and materials science. Each of the databases was vetted by field experts and is the result of a bibliometric search constructed to maximize coverage, while minimizing the occurrence of spurious records. In this way we built databases of publications and authors for superstring theory, cosmic strings and other topological defects, cosmological inflation, carbon nanotubes, quantum computing and computation, prions and scrapie, and H5N1 influenza. We also built a database for a classical example of “pathological” science, namely cold fusion. All these fields also vary in size and in their temporal patterns of development, with some showing explosive growth from an original identifiable discovery (e.g. carbon nanotubes) while others are characterized by a slow process of development (e.g. quantum computers and computation).We show that regardless of the detailed nature of their developmental paths, the process of scientific discovery and the rearrangement of the collaboration structure of emergent fields is characterized by a number of universal features, suggesting that the process of discovery and initial formation of a scientific field, characterized by the moments of discovery, invention and subsequent transition into “normal science” may be understood in general terms, as a process of cognitive and social unification out of many initially separate efforts. Pathological fields, seemingly, never undergo this transition, despite hundreds of publications and the involvement of many authors. 相似文献
13.
我国图书馆、情报与文献学领域作者合作现状——基于小世界理论的分析 总被引：1，自引：0，他引：1
本文以2002年至2006年五年间CSSCI收录的图书馆、情报与文献学期刊论文作者为数据源,分析了各年作者合作率趋势、期刊作者合作率分布等作者合作特征,总结出该领域作者合作的现状;并建立了作者合作网络,析出了最大连通图,计算出该图的平均路径以及聚类系数,发现该作者合作网络具有小世界效应,为小世界网络.并通过与物理学、生物学以及数学作者合作网络比较,讨论了不同学科之间的作者合作的特征. 相似文献
14.
将复杂网络的研究方法引入到科研合作网络的研究中,为分析和评价科研人员提供了一个新途径.文章以合作网络为背景,微观深入地研究了科研合作网络中个体成员的网络生命特性,从全局网络和局部社团演化的角度定量分析个体网络生命过程对网络发展的影响.文章以大量的科技文献数据为实验数据集,以网络演化为线索跟踪个体成员的生命过程,同时考虑网络演化中的普通成员和核心成员对社团演化的不同影响,定量分析演化特性和个体网络生命过程.数据分析证实了科研团队要持续不断地发展,既要不断吸纳新成员为科研团队注入新活力,同时又要有相对稳定的中坚力量维持着团队的科研方向.更进一步地,文章的研究方法可以扩展到对其他社会组织分析,追踪分析相关组织的发展趋势及关键人物对组织演化的影响. 相似文献
15.
在系统调研跨地域科研协作现状基础上,本研究提出跨地域科研协作模式分析框架,以信息搜寻与信息检索融合（IS&R）等为测试主题,构建跨地域科研协作网络;计算无向加权科研协作网络节点中心性,发现各主题研究热点国家、城市和机构;模拟有向加权科研协作网络连接强度,描绘科研协作关系中知识流动方向;识别科研协作过程中节点角色,发掘城市科研协作主流模式;通过QAP分析,测度地理距离对节点间科研协作强度的影响,剖析节点科研实力与节点间科研协作强度的相关关系;借助演化分析,厘清科研协作网络发展历程及节点角色迁移情况。结果显示,上述主题在跨地域科研协作过程中既存在共性的节点分布、网络连接和扩展模式,又表现出一定的学科差异。图5。表11。参考文献23。 相似文献
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17.
J. Clemente-Gallardo A. Ferrer D. Íñiguez A. Rivero G. Ruiz A. Tarancón 《Journal of Informetrics》2019,13(1):64-77
The aim of this paper is to establish the similarities and differences between the way of collaboration and the production of researchers when dealing with publications or with the development of projects and whether the collaboration patterns change across disciplines.We have studied the networks of researchers formed through the collaborations in papers or in projects in a research institution (the University of Zaragoza) and we have analyzed a series of individual and global magnitudes. As a general result, we have observed that the laws governing the individual productivity are similar for the cases of publications and projects but, however, the behavior is different when analyzing more complex magnitudes such as the collaborations or other structural variables. We consider also the subnetworks defined by the researchers of the different disciplines and characterize their topologies and compare the corresponding collaboration patterns.Because of the general approach, we expect most of the conclusions to be applicable to other universities or research centers. 相似文献
18.
《Journal of Informetrics》2022,16(4):101350
This study explores the impact of different collaboration modes on the cited frequency of publications. Though several studies have obtained some research results, most of them exploit association or regression-based methods, which may not lead to causal conclusions. To overcome the above challenges, we use the Propensity Score Matching (PSM) method to analyze and compare the citation frequencies resulting from four groups of collaboration models: international versus domestic, international multilateral versus international bilateral, domestic inter-organizational versus domestic intra-organizational, and domestic multi-author versus domestic single-author. More specifically, we conduct this analysis by exploring the publications with three computer science subfields from the Web of Science (WoS) database. The experimental results show that international collaboration, especially international multilateral collaboration, has a significant role in increasing the frequency of citations to scientific publications, showing that internationalization and collaboration are critical factors in the growth of the impact of the papers. Among national co-publications, collaborative publications within national organizations receive a higher citation impact. Multi-author collaborations significantly increase citation frequency compared to single-author publications. Our heterogeneity analysis across the different subfields of the computer science domain finds that the treatment effects for the three subfields differ modestly and mostly significant from the whole sample. Moreover, besides the implications for developing research policy and scientist collaboration, our study can capture the causal effect between author collaboration patterns and citation frequency to reveal their causal effects. 相似文献
19.
以WoS收录的25位普赖斯奖得主论文数据为依据,运用社会网络分析法研究该获奖群体间的科学合作网络。结果表明:各获奖者合作活跃程度不一,网络中形成若干核心节点;合作网络主要由4个作者聚集群体组成,并确定普赖斯奖得主合作网络中的部分中国学者;合作网络越大、合著越多的获奖者通常有较高的学术论文产出;增强科学合作对提升部分学术影响力指标有积极影响。 相似文献
20.
《Journal of Informetrics》2019,13(2):708-716
Peer review is not only a quality screening mechanism for scholarly journals. It also connects authors and referees either directly or indirectly. This means that their positions in the network structure of the community could influence the process, while peer review could in turn influence subsequent networking and collaboration. This paper aims to map these complex network implications by looking at 2232 author/referee couples in an interdisciplinary journal that uses double blind peer review. By reconstructing temporal co-authorship networks, we found that referees tended to recommend more positively submissions by authors who were within three steps in their collaboration network. We also found that co-authorship network positions changed after peer review, with the distances between network neighbours decreasing more rapidly than could have been expected had the changes been random. This suggests that peer review could not only reflect but also create and accelerate scientific collaboration. 相似文献