155,439 research outputs found
Quantitative assessment of collaboration
No full textSite 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
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
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
Researching an authorial collaboration: reflections on writing a journal article
No full textA crucial dimension of an effective research collaboration is the capacity to co-author publications arising from the research. Yet collaborative writing is as challenging as collaborative research, entailing complex processes of dialogue and shared meaning-making. This chapter explores the authors’ ongoing writing collaboration, and the positive outcomes arising from it, as encapsulating one viable approach to creating and sustaining a productive research team. This argument is elaborated by means of separate and shared reflections on the composition of the group’s first journal article (Arden, Danaher, & Tyler, 2005). These reflections yield important findings about the values and concepts underpinning the collaboration as well as specific strategies for writing and publishing consistent with those values and concepts. In particular, the authors’ interpersonal relations constitute a resilient framework for sharing prior knowledge and for articulating areas of convergence and divergence in their respective conceptual, methodological and
empirical priorities
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
A Systemic Approach for Evaluating Stakeholder Collaboration within Requirement Collection
No full textThe involvement of Stakeholders in requirement collection of software projects is
essential, and that is evident in the diverse methodologies available that emphasise
stakeholder collaboration. However these processes scarcely provide further
understanding of the social interaction, and its effect into forming collaboration had not
been sufficiently addressed by software development research.
It is challenging to identify dominating factors that affect collaboration due to the
complexity of stakeholder interaction. This thesis addresses such a challenge. It
discusses a systems approach to the evaluation of stakeholder collaboration within
requirement collection of software projects. A generic approach has been developed to
contribute to our understanding of the problem and support stakeholders’ collaborative
involvement.
Based on understanding the nature of collaboration between stakeholders in requirement
collection, and the concept of perception and its contribution into forming collaboration,
the EStaC (Evaluation of Stakeholder Collaboration) approach is developed. EStaC is
presented here to describe an integration of multi-methodologies that supports capturing
stakeholders' perspectives, and therefore systemically it captures the essence of
collaboration within its context.
EStaC contributes to the crucial phase of requirement collection with the ultimate objective
of extending it to include means of improvement of stakeholder collaboration. It promotes
the development of two modes of analysis, the design and diagnosis, which both involves
using the principles of the Viable System Model.
The novelty of this work is specifically considered with the development of the EStaC
approach because unlike other approaches, it focuses on the social act of interaction from
a stakeholders viewpoint, by applying systemic strategies and cybernetic driven principles
with concepts of fourth generation evaluation.
The research recognises evaluation of stakeholder collaboration as an important aspect in
the requirement collection process in any software development. It concludes and
supports the incorporation of such activities throughout various phases of requirement
collection
Human-AI Collaboration in Academic Writing: towards a Synergy Model and A Case to Include AI as a Co-Author
No full textAs generative AI systems such as ChatGPT and Gemini 2.5 become increasingly integrated into academic workflows, the question of their legitimacy, limitations, and potential in scholarly writing has become urgent. This paper presents a reflexive case study of a sustained collaboration between a domain expert in consciousness studies and Gemini 2.5, culminating in the co-authorship of a peer-reviewed research article. By analyzing exactly 37,440 words of recorded interactions, we identify patterns of synergy, including recursive refinement, conceptual amplification, and accelerated manuscript development. We argue that when guided by a knowledgeable human author, AI can act as a cognitive partner rather than a passive tool—amplifying scholarly creativity and improving efficiency without compromising academic rigor. The case supports a '1+1=3' synergy model for co-authorship, in which human steering and AI fluency converge to produce novel insights and polished output faster and more effectively than either could achieve alone. The findings advocate for a paradigm shift from prohibitive policies to the responsible, expert-guided integration of AI in academic research and writing, grounded in transparency and accountability, and present arguments for why the AI tool should be listed as a co-author despite current injunctions against such practice
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
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
Measurement of the ratio of prompt χ c to J / ψ production in pp collisions at √s = 7 TeV
No full textThe prompt production of charmonium χ c and J / ψ states is studied in proton-proton collisions at a centre-of-mass energy of √s = 7 TeV at the Large Hadron Collider. The χ c and J / ψ mesons are identified through their decays χ c → J / ψ γ and J / ψ → μ + μ - using 36 pb - 1 of data collected by the LHCb detector in 2010. The ratio of the prompt production cross-sections for χ c and J / ψ, σ (χ c → J / ψ γ) / σ (J / ψ), is determined as a function of the J / ψ transverse momentum in the range 2 < p T J / ψ < 15 GeV / c. The results are in excellent agreement with next-to-leading order non-relativistic expectations and show a significant discrepancy compared with the colour singlet model prediction at leading order, especially in the low p T J / ψ region
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