70,502 research outputs found
Quantitative assessment of collaboration
Site de l'éditeur : http://www.iisi.de/international-reports-on-socio-informatics-irsi/This paper presents a short literature review of a research trend that endeavors to model collaboration by quantifying each group member‟s contribution. In such a view, equity is considered as the ideal collaborative situation. We review some foundational elements of this approach, some methodological aspects, describe a case study applying such concepts and analyses, and present examples of design implications for Computer-Supported Cooperative Work
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
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
The JEM-EUSO Mission: Status and Prospects in 2011 - Contributions of the JEM-EUSO Collaboration to the 32nd International Cosmic Ray Conference
Contributions of the JEM-EUSO Collaboration to the 32nd International Cosmic
Ray Conference, Beijing, August, 201
Searches for Gravitational Waves from Known Pulsars at Two Harmonics in 2015-2017 LIGO Data (vol 879, 10, 2019)
Two analysis errors have been identified that affect the results for a handful of the high-value pulsars given in Table 1 of Abbott et al. (2019). One affects the Bayesian analysis for the five pulsars that glitched during the analysis period, and the other affects the 5n-vector analysis for J0711-6830. Updated results after correcting the errors are shown in Table 1, which now supersedes the results given for those pulsars in Table 1 of Abbott et al. (2019). Updated versions of figures can be seen in Figures 1-4. Bayesian analysis.-For the glitching pulsars, the signal phase evolution caused by the glitch was wrongly applied twice and was therefore not consistent with our expected model of the pulsar phase. This error did not affect the F/G-statistic or 5n-vector analysis. Analyses of the five pulsars PSR J0205+6449, PSR J0534+2200, PSR J0835-4510, PSR J1028-5819, and PSR J1718-3825 have been repeated after correcting for the error. There are small quantitative differences in the results, but the changes do not affect the main conclusions of the paper. The largest differences are for PSR J0835-4510 (the Vela pulsar), for which the updated upper limits from the Bayesian method are found to be between 1.1 and 2 times larger than those obtained when the error was present. This appears primarily to be due to the error leading to the decohering of a strong spectral line in the LIGO Livingston detector and thus lowering the amplitude limit. 5n-vector analysis.-An error was also identified in the settings of the 5n-vector analysis, which affected the upper limit computation at the rotation frequency for C21 95% of J0711-6830. Specifically, we found an incorrect choice for the range of amplitudes used to inject simulated signals in the O2 data. The updated upper limit is about 2.5 times worse than that obtained when the error was present. This error did not affect the Bayesian or F/G-statistic results. (Table Presented) (Figure Presented)
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 Reproducibility Project: A model of large-scale collaboration for empirical research on reproducibility.
The goal of science is to accumulate knowledge that answers questions such as “How do things work?” and “Why do they work that way?” Scientists use a variety of methodologies to describe, predict, and explain natural phenomena. These methods are so diverse that it is difficult to define a unique scientific method, although all scientific methodologies share the assumption of repeatability (Hempel & Oppenheim, 1948; Kuhn, 1962; Popper, 1934; Salmon, 1989). In this chapter, we first briefly review why replications are highly valued but rarely published. Then we describe a collaborative effort — the Reproducibility Project — to estimate the rate and predictors of reproducibility in psychological science. Finally, we detail how we are conducting this project as a large-scale, distributed, open collaboration. A description of the procedures and challenges may assist and inspire other teams to conduct similar projects in other areas of science
Gravitational wave detectors: First astrophysical results and path to next generation
After several years of construction and commissioning, LIGO, GEO600 and Virgo gravitational waves detectors have reached or exceeded their foreseen sensitivities and have been in operation for a few years. Even if a first detection remains unlikely with these sensitivities, meaningful results from the astrophysical point of view have been obtained on gamma-ray bursts or pulsars for example. For the current joint scientific run of LSC (LIGO Scientific Collaboration) and Virgo collaborations, the "multi-messenger" approach has been reinforced and, in particular, online searches have been implemented in order to trigger external observations by satellites or telescopes.Upgrades to the next generation of these detectors have started. With expected sensitivity increases of a factor 10, we expect GW detections to be frequent and the "multi-messenger" strategy will be fruitful when these next-generation detectors begin data collection in 2015
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
The Pierre Auger Observatory III: Other Astrophysical Observations - Collection of papers in http://arxiv.org/ftp/arxiv/papers/1107/1107.4805.pdf
Contributions of the Auger Collaboration to the 32nd International Cosmic Ray Conference, Beijing, August, 2011: Astrophysical observations of ultra-high-energy cosmic rays with the Pierre Auger Observator
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