1,721,011 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
From AI anxiety to digital agency: early insights from genAI integration in teaching innovation concepts
This presentation examines an innovative approach to integrating Generative AI (GenAI) in postgraduate education through a series of industry-relevant 'innovation quests' implemented within the GradElevate initiative. Drawing on social constructivist learning theory, we designed collaborative tasks where Business Analytics students work in teams to develop innovative solutions while explicitly incorporating GenAI tools. The initiative represents a response to the rapid emergence of GenAI in professional practice, aiming to develop students' capabilities in ethical and effective AI integration while maintaining authentic learning experiences. Our approach positions GenAI as a learning stakeholder within a collaborative framework, building on Zhou and Schofield's (2024) conceptualisation of AI in social learning environments. The initiative's design incorporates Perkins et al.'s (2024) AI Assessment Scale to support ethical AI integration, while Lodge et al.'s (2023) network of co-regulation framework guides our understanding of how students navigate learning with both peers and AI tools. Initial findings from our first cohort suggest that professional students develop sophisticated strategies for combining human expertise with AI capabilities, particularly when tasks are authentically aligned with industry practice. The presentation will share practical insights about task design, student engagement patterns, and assessment approaches that support meaningful learning with GenAI. We will also discuss how cross-institutional collaboration enhanced our understanding of GenAI integration in postgraduate education
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Informal hierarchies and cooperation in self-organising teams: empirical evidence from Free/Open Source software development communities
I examine the role of informal hierarchies in fostering collaboration in self-organising communities by analysing communication networks among members of communities involved in Free/Open Source Software (F/OSS) projects. I document structural properties of the hierarchy both emerging from and being influenced by the self-assignment of community members to tasks. Furthermore, I analyse the interaction between the emergent organisational hierarchy and the network of actual collaboration developed by the community members. F/OSS communities are formed by groups of software developers, who communicate mainly over the internet and collaborate to the production of software products. F/OSS communities may be conceived as natural experiments on the emergence of social structure out of network interaction as virtually no exogenous hierarchy is imposed on production teams. I reconstruct the structure of communication networks by harvesting the official development mailing lists of selected projects. Contributions to collective code bases and to the bug tracking repositories are used to reconstruct collaboration networks and task assignment. In the analysis I control for a variety of sources of individual heterogeneity in production and communication activities. The objective of the study is to investigate whether status-based informal hierarchies generated by local communication patterns influence the productive goals of selected communities through the stabilisation of task assignment and collaboration networks. If in these contexts informal hierarchical structures represent a viable option in order to reduce complexity and facilitate the internal assignment of tasks, it is expected that a balance has to be stricken not to hinder the flexibility and potential for knowledge recombination characteristic of flatter team structures
Codes of honour: an exploratory study of the co-evolution of network structures and individual performance in the development of open source software
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