Search results

The purpose of this article is to contribute to our stock of knowledge about who uses networks, how they are used, and what contribution the networks make to advancing the scientific enterprise. Between 1985 and 1990, the Survey of Income and Program Participation (SIPP) ACCESS data facility at the University of Wisconsin‐Madison provided social scientists in the United States and elsewhere with access through the electronic networks to complex and dynamic statistical data; the 1984 SIPP is a longitudinal panel survey designed to examine economic well‐being in the United States. This article describes the conceptual framework and design of SIPP ACCESS; examines how network users communicated with the SIPP ACCESS project staff about the SIPP data; and evaluates one outcome derived from the communications, the improvement of the quality of the SIPP data. The direct and indirect benefits to social scientists of electronic networks are discussed. The author concludes with a series of policy recommendations that link the assessment of our inadequate knowledge base for evaluating how electronic networks advance the scientific enterprise and the SIPP ACCESS research network experience to the policy initiatives of the High Performance Computing Act of 1991 (P.L. 102–194) and the related extensive recommendations embodied in Grand Challenges 1993 High Performance Computing and Communications (The FY 1993 U.S. Research and Development Program).

This chapter focuses on scientific and research networks. All six facets of knowledge networks are described. The importance of three facets is called out, including domain, knowledge, and nodes. The authors provide profiles of five networks, including an invisible college in chemistry, a professional association network in engineering, an editorial network, a national biological observation collaboration, and a national science museum.

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

The purpose of this paper is to examine which stakeholder values are created by a well-performing network-structured university-industry collaboration (UIC). These results should provide initial conclusions for the design of UICs with the aim to overcome critical barriers to effective technology transfer.

The research is designed as a comprehensive single case study and follows a qualitative approach in order to obtain a deep understanding of the various stakeholder values created by Austrian Center of Competence in Mechatronics (ACCM), a unique, well-performing UIC-network.

The results show that on the one hand ACCM provides stakeholder values that are largely common for UICs or networks (access to resources and industry problems, funding, know-how dialogue, solution of practical problems, etc.). On the other hand ACCM offers very special values which are often realized in UICs to a low degree only. The study indicates that by the special construct of ACCM, with its deep value added chain, the common problem of converting basic research results into industrial solutions can be managed.

The research shows that the ACCM construct of a network-structured UIC has many benefits for the stakeholders and offers a new way to overcome critical barriers to effective technology transfer.

Given the absence of fundamental work in this area, the study is significant both academically as well as practically in terms of effective technology transfer in network-structured UICs and their values for various stakeholders.

This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.

Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.

This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.

The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.

This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.

Takes a detailed view of the scientific community in Chile regarding network implementation and use. Argues that since Chile has many characteristics in common with other nations in this regard, the methodology is replicable elsewhere. Makes generalizations based on a statistically significant sample of scientific network users, under such headings as research discipline, education level, computer access and other variables. Develops hypotheses using the literature of Computer Mediated Communication Systems (CMCS). Discusses the potential of using the current methodology as well as the insights of previous CMCS to give better information in the planning process for research networks of all kinds.

This paper aims to describe the popular trends and methods and ICT tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals. Science mapping or bibliometric mapping is a spatial representation of how disciplines, fields, specialties and individual documents or authors. The researchers analysed Bibexel, Pajek, VOSViewer, programmes used for processing and visualization of bibliographic and bibliometric data, within the framework of the implementation of IRNet research network project and activities and presented several examples of visualisation.

Among the main indicators of research effectiveness – bibliometric indicators – is a powerful information tool to support the development of science. Practical research methods were prepared using the programs: Bibexel (metadata analyses), program Pajek: graph editing and visualization of the graph structure of co-authorship – using the method of Kamada-Kawai and VOSviewer: a computer program for creating maps based on network data and for visualizing and exploring these maps. The main features of VOSviewer can be summarized for creating maps based on network data, visualizing and exploring maps.

The cited references and keywords are used to analyse in particular the intellectual base used by the research field or to analyse documents that cite the same references.

The authors of the paper, who are researchers of the European IRNet project and international research network, described and analysed certain bibliographic results of these activities using methods of mapping and visualization of scientific domains.

Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5–20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the networks found via an analytical bibliometric study of the scientific output related with microteaching in teacher training, through a study and examination of the Web of Science database.

This research was conducted with the VOSviewer tool for content analysis through data mining and scientific network structure mapping by means of the normalisation technique. This technique is based on the association strength indicator, which is interpreted as a measurement of the similarity of the units of analysis.

Two hundred and nine articles were thus obtained from the Web of Science database. The networks generated and the connections among the various items, co-authorship and co-citation are presented in the results, which clearly indicates that there are significant authors and institutions in the field of microteaching. The largest cluster is made up of institutions such as Australian Catholic University. The most often-cited document is by Rich and Hannafin. Allen (1968), who defines microteaching as a technique based on microclasses and microlessons, is the author most often cited and has the largest number of connections.

This research’s limitations concern either aspects that lie beyond the study’s possibilities or goals that have proved unattainable. The second perspective, which focuses on skill transfer, contains a lower percentage of documents and therefore has a weaker central documentary structure. Lastly, the authors have also had to bear in mind the fact that the scientific output hinges upon a highly specific realm, the appearance and/or liberalisation of digital technologies and access to those technologies in the late 20th century.

This research shows that microteaching is a promising area of research that opens up vast possibilities in higher education teacher training for application in the realm of technologies. This paper could lead to several lines of future research, such as access to and the universal design of learning from the standpoint of different communication and pedagogical models based on microteaching.

Social network theory and analytic tools have been increasingly used to examine the interaction between science and technology. Recently, researchers have paid attention to the role of publishing inventors, that is, individuals bridging the collaborative networks between authors (co-authorship network) and inventors (co-invention network). Building on this research, we study how publishing inventors’ structural position in the joint co-authorship and co-invention network affects the quality of the inventions to which they contribute. Specifically, we identify publishing inventors who play a pivotal role in holding the two networks together: their removal not only increases the network fragmentation but also disconnects the joint co-authorship and co-invention network. We define these publishing inventors as cutpoints and find them to contribute to inventions of greater quality. We situate the analysis within the context of the emerging field of nanotechnology. The theoretical and managerial implications of the results are discussed.

The purpose of this paper is to empirically evaluate the effect of heterogeneity in inter‐organizational collaboration networks on international high‐quality scientific performance of the most reputed business management schools in Latin America according to AméricaEconomía ranking.

Starting from the debate between advantages and disadvantages of heterogeneity in scientific performance framed in the debate between organizational population ecology and organizational institutionalism theories, this research explores the relationship between heterogeneity, reputation and the most important features for doing research. Using a binomial negative regression, the paper evaluates the partial effect of those variables in the count of scientific production.

There is an isomorphical tendency from the most reputed schools to establish heterogeneous networks, showing empirical evidence to normative proposals from Latin America, specially formulated in the light of Sabato triangle. Also there are differentiations between schools in aspects like human capital, double‐degree agreements, and schools’ trajectories.

It is necessary to choose a wider sample of schools and to include Latin American journals. The study of diversity (between researchers) and its relationship with heterogeneity (between organizations) is also needed.

The research shows that elite business management schools in Latin America that present better performance also present high levels of heterogeneity in their inter‐organizational collaboration. Therefore, the promotion of heterogeneity could enhance scientific performance and improve techno‐economical networks.

This research hopes to aim the research policy design to be able to steer and promote heterogeneity that could improve the relationship between producers and users of knowledge.

The relationships between reputation, heterogeneity, and scientific performance in administration in Latin America had not been addressed empirically. The worth of this research is the empirical confirmation to the advantages of heterogeneity, rather than intellectual capital features of schools, in research collaboration that contribute to the debate about heterogeneity and performance.

Evaluar empíricamente el efecto de la heterogeneidad de las redes de colaboración interorganizacionales en el desempeño científico de alta calidad internacional en las escuelas de administración y negocios más reputadas en América Latina de acuerdo con el escalafón de AméricaEconomía.

Con base en el debate que concierne a las ventajas y desventajas de la heterogeneidad en el desempeño científico enmarcado dentro del debate entre las teorías de la ecología de poblaciones y el institucionalismo organizacional, esta investigación explora la relación entre la heterogeneidad, la reputación y las características más importantes que pertenecen a la investigación. Usando la regresión binomial negativa, el artículo evalúa los efectos parciales de las variables en el conteo de la producción científica.

Hay una tendencia isomórfica de las escuelas más reputadas por establecer redes heterogéneas, mostrando evidencia empírica para las propuestas normativas de América Latina, especialmente formuladas a la luz del triángulo de Sabato. También hay diferencias entre las escuelas en términos del capital humano, los convenios de doble titulación, y la trayectoria de las escuelas.

Es necesario escoger una muestra más amplia de escuela e incluir a las revistas de América Latina. El estudio de la diversidad (entre investigadores) y su relación con la heterogeneidad (entre organizaciones) también es requerida.

La investigación muestra que las escuelas de administración en América Latina que presentan mejor desempeño también presentan altos niveles de heterogeneidad en su colaboración interorganizacional. Por lo tanto, la promoción de la heterogeneidad podría añadir al desempeño científico y mejorar las redes tecno‐económicas.

Esta investigación espera impulsar el diseño de políticas de investigación y a su vez promover la heterogeneidad que pueda mejorar la relación entre los productores y usuarios de conocimiento.

La relación entre reputación, heterogeneidad y desempeño científico en administración en América Latina no ha sido abordada empíricamente. El valor de esta investigación es la confirmación empírica de las ventajas de la heterogeneidad, en vez de otras características de las escuelas, en la colaboración científica que contribuye al debate sobre heterogeneidad y desempeño.