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1.
The patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collaborative networks (from the arXiv repository) parameterized along time. By defining the concept of affine group, we identify several interesting trends in scientific collaboration, including the fact that the average size of the affine groups grows exponentially, while the number of authors increases as a power law. We were therefore able to identify, through extrapolation, the possible date when a single affine group is expected to emerge. Characteristic collaboration patterns were identified for each researcher, and their analysis revealed that larger affine groups tend to be less stable.  相似文献   

2.
Scientific collaboration commonly takes place in a global and competitive environment. Coalitions and consortia are formed among universities, companies and research institutes to apply for research grants and to perform joint projects. In such a competitive environment, individual institutes may be strategic partners or competitors. Measures to determine partner importance have practical applications such as comparison and rating of competitors, reputation evaluation or performance evaluation of companies and institutes. Many network-centric metrics exist to measure the important of individuals or companies in social and collaborative networks. Here we present a novel context-based metric to measure the importance of partners in scientific collaboration networks. Well-established graph models such as the notion of hubs and authorities provide the basis for this work and are systematically extended to a flexible, context-aware network importance measure.  相似文献   

3.
Scientific collaboration has become an important approach for knowledge production and innovation and has received wide attention. Although gender, a demographic characteristic of scientists, has been found to influence scientific collaboration, little research has associated gender with continuous collaboration. In the current study, we classified collaboration pairs by the genders of the two collaborators and explored the relationships among gender composition, collaboration continuity, and citation impact using regression analyses. Female scholars were found to limit continuity for the collaboration pair. The results also showed that inter-gender collaborations were less continuous than intra-gender collaborations after considering the gender difference in individual persistence. In addition, we showed that the relationship between continuity and citation impact was significantly positive, and was stronger if the collaboration pairs included female scholars. This study provides a deeper understanding of gender-related scientific collaboration. It also provides continuity-related suggestions for researchers in inter-gender collaborations.  相似文献   

4.
Convexity in a network (graph) has been recently defined as a property of each of its subgraphs to include all shortest paths between the nodes of that subgraph. It can be measured on the scale [0, 1] with 1 being assigned to fully convex networks. The largest convex component of a graph that emerges after the removal of the least number of edges is called a convex skeleton. It is basically a tree of cliques, which has been shown to have many interesting features. In this article the notions of convexity and convex skeletons in the context of scientific collaboration networks are discussed. More specifically, we analyze the co-authorship networks of Slovenian researchers in computer science, physics, sociology, mathematics, and economics and extract convex skeletons from them. We then compare these convex skeletons with the residual graphs (remainders) in terms of collaboration frequency distributions by various parameters such as the publication year and type, co-authors’ birth year, status, gender, discipline, etc. We also show the top-ranked scientists by four basic centrality measures as calculated on the original networks and their skeletons and conclude that convex skeletons may help detect influential scholars that are hardly identifiable in the original collaboration network. As their inherent feature, convex skeletons retain the properties of collaboration networks. These include high-level structural properties but also the fact that the same authors are highlighted by centrality measures. Moreover, the most important ties and thus the most important collaborations are retained in the skeletons.  相似文献   

5.
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   

6.
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   

7.
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   

8.
As scientific collaboration has become more common with increased representation of female scholars, the effects of inter-gender collaboration have attracted more attention. However, scholars have not reached a consensus on the relationship between inter-gender collaboration and research performance. Empirical evidence at the scholar level has also been rare. Therefore, based on the ratio of the opposite sex in collaboration partners, this study reveals the influence of participating in inter-gender collaborations on research performance for scholars. Grouped regression was employed to test gender differences in this effect. The effect of partners’ academic levels was also investigated to account for potential gender differences. The results indicated that inter-gender collaboration had a positive effect on research performance for scholars. Grouped regressions also showed that collaborating with more inter-gender partners exerted a significantly negative effect on the research performance of female scholars, while it had a positive effect for male scholars. The negative effect on female scholars were found to be strengthened if the partners were at a high academic level. This study is helpful to understand inter-gender collaboration in depth, and further reveals the gender differences in scientific collaboration.  相似文献   

9.
The debate on the role of women in the academic world has focused on various phenomena that could be at the root of the gender gap seen in many nations. However, in spite of the ever more collaborative character of scientific research, the issue of gender aspects in research collaborations has been treated in a marginal manner. In this article we apply an innovative bibliometric approach based on the propensity for collaboration by individual academics, which permits measurement of gender differences in the propensity to collaborate by fields, disciplines and forms of collaboration: intramural, extramural domestic and international. The analysis of the scientific production of Italian academics shows that women researchers register a greater capacity to collaborate in all the forms analyzed, with the exception of international collaboration, where there is still a gap in comparison to male colleagues.  相似文献   

10.
Scientific collaboration is often perceived as a joint global process that involves researchers worldwide, regardless of their place of work and residence. Globalization of science, in this respect, implies that collaboration among scientists takes place along the lines of common topics and irrespective of the spatial distances between the collaborators. The networks of collaborators, termed ‘epistemic communities’, should thus have a space-independent structure. This paper shows that such a notion of globalized scientific collaboration is not supported by empirical data. It introduces a novel approach of analyzing distance-dependent probabilities of collaboration. The results of the analysis of six distinct scientific fields reveal that intra-country collaboration is about 10–50 times more likely to occur than international collaboration. Moreover, strong dependencies exist between collaboration activity (measured in co-authorships) and spatial distance when confined to national borders. However, the fact that distance becomes irrelevant once collaboration is taken to the international scale suggests a globalized science system that is strongly influenced by the gravity of local science clusters. The similarity of the probability functions of the six science fields analyzed suggests a universal mode of spatial governance that is independent from the mode of knowledge creation in science.  相似文献   

11.
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   

12.
The twenty-first century is marked by increased challenges in education and limited resources to address them. A solution proposed within school librarianship is teacher and librarian collaboration. This qualitative study examines the practices of highly collaborative teachers and librarians and identifies mechanisms that operate within schools to facilitate high-end collaboration. Five broad themes emerge from the data and identify essential elements of successful collaboration: school culture, positive attributes of collaborators, communication, management, and motivation. This study adds to the body of knowledge of teacher and librarian collaboration by providing empirical support for collaborative practices described in school librarianship literature. The model of teacher and librarian collaboration that emerged from the data provides a preliminary framework for high-end collaborative environments in schools. Of particular interest were findings regarding time management. Participants indicated that in spite of limited time, time issues are overcome when collaboration is highly valued.  相似文献   

13.
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   

14.
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   

15.
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   

16.
Abstract

Given that graduate employment is a clear outcome of education success, there is an urgent need to conceptualize course design strategically to maximize students’ chances of employment. In this paper, we present an Australian case study in which we used a structured career information literacy learning approach to build employability in a biological sciences capstone course, through collaboration between the university library, academics, and career service. We report the context, method, measurement, outcomes of collaboration, and roles of contributors in this partnership. This case study lends itself to potential ways of incorporating career information literacy into an academic context.  相似文献   

17.
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   

18.
With the rapid globalization of science, mobility is perceived as an important driver of scientific progress and innovation success. However, we have little knowledge about whether and how scientists’ mobility influences their career development, especially scientists’ productivity and collaboration. In this case study, using the data on 62,330 scientists, the Chinese computer scientists who published at least one computer science paper and published no fewer than 10 papers in total from 2000 to 2012, we apply difference in differences models in conjunction with PSM methods to show the effect of domestic mobility (i.e., moving inside China) on scientists’ research quantity and quality by distinguishing the direction of mobility. In contrast to the existing literature that documents a short-term negative effect due to adaption costs or disruption of routines and social capital, we do not observe an initial detrimental impact of following moves on productivity and collaboration, even for non-upward moves. We further find that mobility leads to increased collaboration with new partners without dampening scientists’ collaboration with previous collaborators. However, scientists have a higher probability of collaborating with new collaborators, as evidenced by the decreased share of previous collaborators to the total co-authors after they move. The findings of this case study imply that the benefits of mobility might outweigh its costs and that mobility improves scientists’ productivity and collaboration for prolific scientists in emerging countries.  相似文献   

19.
The fundamental research question being pursued in this study is what influences the degree of international scientific collaboration among Turkish scientists? While the study has been illuminated by bibliometrics, the research study is largely exploratory and qualitative. Email questionnaire surveys and semi-structured interviews were employed to collect data from Turkish scholars. According to the findings, both external (uncontrollable) factors (e.g., institutional, economic, and governmental factors) and internal factors (e.g., motivation, ambition, trust, and hope) play roles in the international collaboration behavior of Turkish scholars. It is expected that this research will contribute to the understanding of Turkey’s international scientific collaboration processes pertaining to technology, economic, strategic, and cultural policy factors. Also, the analytical framework of this study may be useful for analyzing other developing countries that have a similar scientific and demographic context to Turkey’s.  相似文献   

20.
The fundamental research question being pursued in this study is what influences the degree of international scientific collaboration among Turkish scientists? While the study has been illuminated by bibliometrics, the research study is largely exploratory and qualitative. Email questionnaire surveys and semi-structured interviews were employed to collect data from Turkish scholars. According to the findings, both external (uncontrollable) factors (e.g., institutional, economic, and governmental factors) and internal factors (e.g., motivation, ambition, trust, and hope) play roles in the international collaboration behavior of Turkish scholars. It is expected that this research will contribute to the understanding of Turkey’s international scientific collaboration processes pertaining to technology, economic, strategic, and cultural policy factors. Also, the analytical framework of this study may be useful for analyzing other developing countries that have a similar scientific and demographic context to Turkey’s.  相似文献   

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