25,229 research outputs found
The Structure of Scientific Collaboration Networks in Scientometrics
The 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
FINAL RESULTS ON MU AND TAU PAIR PRODUCTION BY THE JADE COLLABORATION AT PETRA
The cross-sections and the forward-backward charge asymmetries of muon and tau pairs produced ine + e − collisions at s√=35GeV have been measured by the JADE Collaboration. The cross-sections, σμ(s√=GeV)=69.79±1.35±1.40pb and σμ(s√=GeV)=71.72±1.48±1.61pb , are in agreement with the QED α3 prediction. The charge asymmetries areA μ=−(9.9±1.5±0.5)% andA τ=−(8.1±2.0±0.6)% in agreement with the value −9.2% predicted by the standard model, usingM Z=91.0 GeV and sin2θ W =0.230
Collaboration in Arts Education
This is the peer reviewed version of the following article: Adams, J. (2015). Collaboration in Arts Education. International Journal of Art & Design Education, 34(3), 280-281. DOI: 10.1111/jade.12093, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/jade.12093/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-ArchivingThe merits of collaborative learning through the arts are immediately obvious: many of the arts physically lend themselves to shared contributions and joint productions –theatre, dance, murals, singing, textiles, graphics, design and printing, to name only the first to spring to mind. Underpinning each of these are social and communal learning: how to be together, and share in an enterprise. This is turn feeds into the idea of a democratic society where the learner is not only acquiring knowledge and skills, but also an understanding of what it is to be a citizen; it is hard to overestimate how important being well socialised at an early age is to the coherence of a functioning civic society. Given the seemingly obvious advantages of such an education, and the equitable society that it is designed to support, it is troubling that collaborative education, and with it arts education, is increasingly neglected in favour of individual and competitive learning
Collaboration in Iranian Scientific Publications
This 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
A 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
This 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
Measurement of event shapes at large momentum transfer with the ATLAS detector in pp collisions at √s=7 TeV
Contains fulltext :
103500.pdf (Publisher’s version ) (Open Access
mPower: A component-based development framework for multi-agent systems to support business processes
One of the obstacles preventing the widespread adoption of multi-agent systems in industry is the difficulty of implementing heterogeneous interactions among participating agents via asynchronous messages. This difficulty arises from the need to understand how to combine elements of various content languages, ontologies, and interaction protocols in order to construct meaningful and appropriate messages. In this paper mPower, a component-based layered framework for easing the development of multi-agent systems, is described, and the facility for customising the components for reuse in similar domains is explained. The framework builds on the JADE-LEAP platform, which provides a homogeneous layer over diverse operating systems and hardware devices, and allows ubiquitous deployment of applications built on multi-agent systems both in wired and wireless environments. The use of the framework to develop mPowermobile , a multi-agent system to support mobile workforces, is reported
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