24,735 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
SI2-SSI: JETSCAPE
No full textThe JETSCAPE Collaboration will develop a scalable and portable open
source software package to replace a variety of existing codes. The
modular integrated software framework will consist of interacting
generators to simulate (i) wave functions of the incoming nuclei, (ii)
viscous fluid dynamical evolution of the hot plasma, and (iii) transport
and modification of jets in the plasma. Integrated advanced statistical
analysis tools will provide non-expert users with quantitative methods
to validate novel theoretical descriptions of jet modification, by
comparison with the complete set of current experimental data. To
improve the efficiency of this computationally intensive task, the
collaboration will develop trainable emulators that can accurately
predict experimental observables by interpolation between full model
runs, and employ accelerators such as Graphics Processing Units (GPUs)
for both the fluid dynamical simulations and the modification of jets.
The collaboration will create this framework with a user-friendly
envelope that allows for continuous modifications, updates and
improvements of each of its components. The effort will serve as a
template for other fields that involve complex dynamical modeling and
comparison with large data sets. It will open a new era for
high-precision extraction of the internal structure of the Quark-Gluon
Plasma with quantifiable uncertainties
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
JETSCAPE: Jet Energy-Loss with a Statistically and Computationally Advanced Program Envelope
No full textThe Jet Energy-loss Tomography with a Statistically and Computationally
Advanced Program Envelope (JETSCAPE) collaboration is an NSF funded
multi-institutional effort to design the next generation of event
generators to study the physics of jets within the quark-gluon plasma
created in ultra-relativistic heavy-ion collisions. Integrated advanced
statistical analysis tools provide non-expert users with quantitative
methods to validate novel theoretical descriptions of jet modification,
by comparison with the complete set of current experimental data. To
improve the efficiency of this computationally intensive task, the
collaboration has developed trainable emulators that can accurately
predict experimental observables by interpolation between full model
runs, and employ accelerators such as Graphics Processing Units (GPUs)
for both the fluid dynamical simulations and the modification of jets.
This framework exists within a user-friendly envelope that allows for
continuous modifications, updates and improvements of each of its
components
JETSCAPE: Jet Energy-loss Tomography with a Statistically and Computationally Advanced Program Envelope
No full textThe Jet Energy-loss Tomography with a Statistically and Computationally
Advanced Program Envelope (JETSCAPE) collaboration is an NSF funded
multi-institutional effort to design the next generation of event
generators to study the physics of jets within the quark-gluon plasma
created in ultra-relativistic heavy-ion collisions. Integrated advanced
statistical analysis tools provide non-expert users with quantitative
methods to validate novel theoretical descriptions of jet modification,
by comparison with the complete set of current experimental data. To
improve the efficiency of this computationally intensive task, the
collaboration has developed trainable emulators that can accurately
predict experimental observables by interpolation between full model
runs, and employ accelerators such as Graphics Processing Units (GPUs)
for both the fluid dynamical simulations and the modification of jets.
This framework exists within a user-friendly envelope that allows for
continuous modifications, updates and improvements of each of its
components
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
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