2,643,938 research outputs found
Arts-Research Collaboration: Reflections on Collaboration as Creative Method
Full text linkWhat is arts-research collaboration and how does it work? What does arts-research collaboration as method for qualitative inquiry do? What is the effect of collaboration on creative practice and academic research? Drawing on a collaboration between an anthropologist and an artist, this article addresses a surprising lack of qualitative inquiry into collaboration between creative practitioners and academic researchers. By recounting how the authors developed and used collaboration as method, the article identifies and analyses underpinning qualities of how they worked together through arts-research activities. It advances existing debate by agitating for more theoretically grounded accounts of collaboration, including those that take a processual view on making and creativity to argue for considering collaboration, itself, to be materials from which creative practice and outputs emerge. First published online July 4, 202
Quantitative assessment of collaboration
Full text linkSite 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
Full text linkThe 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
Full text linkThis 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
Barriers For Effective Networking In Competitive EnvironmentsAddressing Distrust And Isolation To Promote Collaboration In The Chilean School System
No full textEvidence suggests that networking can be beneficial to enhance learning in challenging contexts, when there is a shared purpose, trustful relationships, and the development of meaningful collaborative practices. In Chile, the adoption of collaborative network practices has faced some challenges due to the long history of neoliberal policies characterised by hierarchical and market governance that promotes competition over collaboration among schools. Using Hood’s (1998) cohesion/regulation matrix, the Chilean education system can be characterized as fatalist, where cooperation among peers is mandated solely to meet external requirements to regulate schools’ and practitioners’ practice. However, in recent years, collaborative projects have been implemented that are framed and supported in an egalitarian culture, highlighting the importance and value of collaboration and support among peers to develop effective teaching practice. By analysing three experiences of networking in Chile, we identify two barriers for networking, distrust and isolation, and analyze the ways in which these networks attempted to overcome them to sustain effective collaboration. The first experience describes the implementation of the collaborative inquiry networks (CIN) methodology. This programme was designed to facilitate the development of networked leadership capacities of principals and curriculum coordinators to support teachers’ practices during COVID-19 in one municipality. In the second, we report on a group of principals who developed focussed interventions in their network of urban primary public schools to enhance the exchange of knowledge and practices among network participants. The third centres on the development of a model to enhance teacher leadership and professional learning in Initial Teacher Education through collaboration in a university–school partnership. Finally, we present some lessons to be considered in similar social and policy environments to successfully introduce a collaborative networked approach
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
Collaboration Workflow Simplified: Reduction of Device Overhead for Integrated Design Collaboration
No full textDesign collaboration relies on cognitive tools such as analog media and digital peripheral devices, and shows the characteristics of distributed cognition. It is a social and complex activity involving multiple agents communicating and using external cognitive tools to encode, decode, and share information in the process of collaborative task completion. The systems supporting this activity should meet the “principle of least collaboration effort” [4] that proposes that agents in collaboration minimize their effort in presentation and acceptance of information. Yet, current collaboration systems are dispersed mixed media that is often overloaded with representations and functionality, thus preventing seam- less information sharing. Designers are required to spend extra effort collecting information using peripheral devices and in system management when sharing information. The goal of this study is to understand these overheads in infor- mation collection and sharing using peripheral devices, and to provide designers with a supportive platform to enhance collaboration using both analog and digital media. In this paper, we first review available peripheral devices such as smart pens, digital cameras, and voice recorders, as well as existing collaboration sup- porting software systems for their benefits and deficiencies in collaboration. We then present “DiNa”, a collaboration platform that is envisioned to improve pro- ductivity and reduce redundant work by integrating peripheral devices into the collaboration workflow. We demonstrate a possible workflow using this system through several scenarios where designers collaborate in performing a series of design tasks. We hope to bring attention to the importance least collaborative effort in designing systems to support real-world collaboration
Inter-institutional scientific collaboration: an approach from social network
Full text linkThis 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
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