24,723 research outputs found
The Structure of Scientific Collaboration Networks in Scientometrics
No full textThe structure of scientific collaboration networks in scientometrics was investigated at the level of individuals by using bibliographic data of all papers published in the international journal Scientometrics retrieved from the Science Citation Index (SCI) during 1978 to 2004. Combined analysis of social network analysis (SNA), co-occurrence analysis, cluster analysis and frequency analysis of words was explored to reveal: (1) The microstructure of the collaboration network on scientists’ aspects of scientometrics; (2) The major collaborative fields of the collaborative sub-networks; (3) The collaborative center of the collaboration network in scientometrics
Collaboration in Iranian Scientific Publications
No full textThis study looks at international collaboration in Iranian scientific publications through the ISI Science Citation Index® (SCI) for the years 1995-1999, inclusive. These results are compared to and contrasted with the earlier findings for the periods covering 1985-1994 (Osareh & Wilson 2000). The results of Iran's increasing productivity over a 15-year period are presented. Iran doubled its output in the first two five-year periods and increased 2.8-fold from the second to the third five-year period. The rise in Iran's scientific publication output is due mainly to factors such as the ending of the war, better economic conditions, recent changes in the Iranian government's policy, basic changes in the political environment brought about by the Reformers, expansion of the Iranian presses for national publications, and the recent return of a large number of students trained overseas through government scholarships. External changes also account for the increased productivity, e.g., the acceptance of three Iranian source journals by the SCI, increased access to international databases through the Internet and better electronic communication facilities for international collaboration. One of the most important and significant factors that caused this dramatic rise seems to be the government's research policies in the last few years. Since 1999, the Iran Science, Research and Technology Ministry, has encouraged researchers to publish their non-Farsi language articles in highly ranked international scientific journals, for example, by giving prizes to researchers who publish their articles in ISI-ranked journals
The methodological status of co-authorship networks
No full textA powerful strategy within the study of collaboration
in science is to posit that co-authorship patterns
represent social networks.
It is prerequisite to an application of Social
Network Analysis (SNA) to define the network
entities. A network analysis of the inter-institutional
collaboration in COLLNET on the basis
of co-authorships was conducted. The study reveals
that it is crucial whether the co-authorship
itself is seen as an author's relational property or
as a social event that brings the authors together.
The former possibility is represented by a onemode
network in which each author can be related
to each other author. Quite distinct from
that are two-mode networks, the latter approach.
They consist of two single data sets in which relations
are only possible between different sets.
Different modes of representations require
different network approaches. One is that co-authorship
networks are seen as one-mode networks,
which has the advantage of the application
of a variety of measures. In contrast, twomode
networks, the other option, cannot be analysed
by standard techniques but its distinctive
features demand a new conceptualisation of
measures. In conclusion, the two-mode perspective
is more promising because it allows a dual
perspective on collaboration in science which includes
researchers as well as their scientific output
Co-authorship Network of Scientometrics Research Collaboration
No full textThis paper examines the co-authorship network in the field of scientometrics using social network analysis techniques with the aim of developing an understanding of research collaboration in this scientific community. Using co-authorship data from 3125 articles published in the journal Scientometrics with a time span of more than three decades (1980-2012), we construct an evolving co-authorship network and calculate three centrality measures (closeness, betweenness, and degree) for 3024 authors, 1207 institutions, 68 countries and 22 academic fields in this network. This paper also discusses the usability of centrality measures in author ranking, and suggests that centrality measures can be useful indicators for impact analysis. Findings revealed that scientometrics was not dominated by a couple of key researchers as quite a significant number of popular researchers were identified. The United States occupies the topmost position in all measures except for degree centrality. The most active, central and collaborative academic discipline in scientometrics is Information & Library Science
Measuring author influence in scientific collaboration networks
No full text
Purpose: The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes. In the meanwhile, we intend to explore a method to avoid assigning subjective weights.
Design/methodology/approach: We applied four centrality measures (degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) and authors' published papers to the scientific collaboration network. The grey relational analysis (GRA) method based on information entropy was used to measure an author's impact in the collaboration network. The weight of each evaluation index was determined based on information entropy. The ACM SIGKDD collaboration network was selected as an example to demonstrate the practicality and effectiveness of our method.
Findings: Author influence was not always positively correlated with evaluation indexes such as degree centrality and betweenness centrality. This implies that combined effects of multiple indexes should be considered in author impact analysis. The introduction of the GRA method based on information entropy can reduce the interference of human factors in the evaluation process.
Research limitations: We only analyzed author influence from the perspective of scientific collaboration, but the impact of citation on author influence was ignored.
Practical implications: The proposed method can be also applied to detect influential authors in bibliographic co-citation network, author co-citation network, bibliographic coupling network or author coupling network. It would help facilitate scientific collaboration and enhance scholarly communication.
Originality/value: This paper proposes an analytical method of evaluating author influence in scientific collaboration networks, in which combined effects of multiple indexes are considered and the interference of human factors is reduced in the evaluation process.
Purpose: The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes. In the meanwhile, we intend to explore a method to avoid assigning subjective weights.
Design/methodology/approach: We applied four centrality measures (degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) and authors' published papers to the scientific collaboration network. The grey relational analysis (GRA) method based on information entropy was used to measure an author's impact in the collaboration network. The weight of each evaluation index was determined based on information entropy. The ACM SIGKDD collaboration network was selected as an example to demonstrate the practicality and effectiveness of our method.
Findings: Author influence was not always positively correlated with evaluation indexes such as degree centrality and betweenness centrality. This implies that combined effects of multiple indexes should be considered in author impact analysis. The introduction of the GRA method based on information entropy can reduce the interference of human factors in the evaluation process.
Research limitations: We only analyzed author influence from the perspective of scientific collaboration, but the impact of citation on author influence was ignored.
Practical implications: The proposed method can be also applied to detect influential authors in bibliographic co-citation network, author co-citation network, bibliographic coupling network or author coupling network. It would help facilitate scientific collaboration and enhance scholarly communication.
Originality/value: This paper proposes an analytical method of evaluating author influence in scientific collaboration networks, in which combined effects of multiple indexes are considered and the interference of human factors is reduced in the evaluation process.</div
Inter-institutional scientific collaboration: an approach from social network
No full textThis paper presents a tool that can be used to characterize, analyze and interpret the
patterns of collaboration among institutions by means of the visual display of scientific
information. These graphic representations allow for a combined analysis of a given
institution in the system of relations (network), and of the particular attributes of that
institution (indicators). The tool affords the possibility of regenerating the network to
make any number of aggregates appear or disappear, thus allowing one to focus on
institutional sectors, geographic regions, etc. It also allows for analysis of sectorial
interaction, institutional backing of research, and the influence of geographic proximity,
linguistic affinity, or regional politics. This is indeed a versatile analytical tool, and it is
bound to prove its potential for evaluating patterns of collaborative research, development
and innovation
Dialogue and Collaboration in the Creation of New Works for Clarinet
No full textThis PhD thesis explores dialogue-based, “intimate” collaboration through the creation of new works for clarinet. It borrows from Grounded Theory in order to facilitate an analysis through which emergent themes within a dialogue-based
collaboration are discovered. The aim has not been to insist on one model of collaboration, but to discover methods for improving one’s collaborative skills and to identify ways in which one benefits from a focus on dialogue in
collaboration. Furthermore, it aims to suggest that through collaboration one can make discoveries about the instrument: original contributions to clarinet technique are made within this thesis. The literature from which the research draws inspiration to further collaborative “technique” is cross-disciplinary and wide-ranging: it draws from social theory, collaborative creative writing, dance, the visual arts and of course, music. Added to this is a select discussion of collaboration throughout the repertoire of the clarinet. Finally, this consists of practice-based research. Seven new pieces for clarinet accompany the text
Interprofessional collaboration-in-practice
No full textThe main question examined is: How do nurses and other healthcare professionals ensure ethical interprofessional collaboration-in-practice as an everyday practice actuality? Ethical interprofessional collaboration becomes especially relevant and necessary when interprofessional practice decisions are contested. To illustrate, two healthcare scenarios are analyzed through three ethics lenses. Biomedical ethics, relational ethics, and virtue ethics provide different ways of knowing how to be ethical and to act ethically as healthcare professionals. Biomedical ethics focuses on situated, reflective, and nonabsolute principled justification, all things considered; relational ethics on intersubjective, professional, and institutional relations; and virtue ethics on prephilosophical tradition and what it means to be good and to be human embedded in social and political community. Analysis suggests that interprofessional collaboration-in-practice may be more rhetoric than actuality. Key challenges of interprofessional collaboration-in-practice and specific conditions perpetuating dissension and conflict are outlined with specific education and policy recommendations included. [ABSTRACT FROM AUTHOR
Innovate and prosper: ensuring Australia's future competitiveness through university-industry collaboration
No full textExecutive summary
The continuation of Australia’s economic growth is under threat. In order to sustain the levels of prosperity we have previously experienced, we have to build on our competitive edge in key industries to remain globally competitive. Alongside these developments, Australia’s higher education system is under increased pressure to become more productive and develop courses that address employability. Innovation represents the most reliable and sustainable solution to transition into a high value, high wage economy. Yet Australia ranks 29th out of 30 in the Organisation for Economic Co-operation and Development (OECD) in terms of the proportion of large businesses and small to medium enterprises (SMEs) collaborating with higher education and public research institutions on innovation.
This report acts as the next level of detail to publications such as the Department of Industry’s Boosting the Commercial Returns from Research report and the Business Council of Australia’s Building Australia’s Comparative Advantages, which have highlighted Australia’s poor performance in collaborative innovation.
We present five recommendations that are a call to action to universities, industry and Government to take the necessary steps to build an innovation economy. They are not a call for additional funding from Government, rather a more effective way of using our existing resources. PricewaterhouseCoopers (PwC) have engaged with leading figures from industry, including the Australian Industry Group (Ai Group), and partnered with the ATN to develop this five point action plan for Government, the university sector and industry 5 that will provide incentives and impetus for collaboration.
Our recommendations include:
Rebalance the national research agenda to underpin Australia\u27s economy and future prosperity
Create incentives for university-industry collaboration
Train researchers for diverse careers
Enhance career mobility between industry, academia and government
Provide incentives for co-investment in research infrastructure between universities, industry and state and federal government
Each recommendation contains a number of practical strategies for consideration by Government, universities and industry. The hope is that the report will encourage dialogue between the three groups and prompt bold policy changes in the coming 12 months and beyond.
 
Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009.
No full textThis paper analyzes the relationship among research collaboration, number of documents and number of citations of computer science research activity. It analyzes the number of documents and citations and how they vary by number of authors. They are also analyzed (according to author set cardinality) under different circumstances, that is, when documents are written in different types of collaboration, when documents are published in different document types, when documents are published in different computer science subdisciplines, and, finally, when documents are published by journals with different impact factor quartiles. To investigate the above relationships, this paper analyzes the publications listed in the Web of Science and produced by active Spanish university professors between 2000 and 2009, working in the computer science field. Analyzing all documents, we show that the highest percentage of documents are published by three authors, whereas single-authored documents account for the lowest percentage. By number of citations, there is no positive association between the author cardinality and citation impact. Statistical tests show that documents written by two authors receive more citations per document and year than documents published by more authors. In contrast, results do not show statistically significant differences between documents published by two authors and one author. The research findings suggest that international collaboration results on average in publications with higher citation rates than national and institutional collaborations. We also find differences regarding citation rates between journals and conferences, across different computer science subdisciplines and journal quartiles as expected. Finally, our impression is that the collaborative level (number of authors per document) will increase in the coming years, and documents published by three or four authors will be the trend in computer science literature
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