1,720,961 research outputs found

    Expert Finding Using Markov Networks in Open Source Communities

    No full text
    Expert finding aims at identifying knowledgeable people to help in decision processes, such as eliciting or analysing requirements in Requirements Engineering. Complementary approaches exist to tackle specific contexts like in forum-based communities, exploiting personal contributions, or in structured organisations like companies, where the social relationships between employees help to identify experts. In this paper, we propose an approach to tackle a hybrid context like an Open Source Software (OSS) community, which involves forums open to contributors, as well as companies providing OSS-related services. By representing and relating stakeholders, their roles, the topics discussed and the terms used, and by applying inference algorithms based on Markov networks, we are able to rank stakeholders by their inferred level of expertise in one topic or more. Two preliminary experiments are presented to illustrate the approach and to show its potential benefit

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Get PDF
    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

    Get PDF
    “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

    Get PDF
    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

    Breaking the Recursivity: Towards a Model to Analyse Expert Finders

    No full text
    Expert Finding (EF) techniques help in discovering people having relevant knowledge and skills. But for their validation, EF techniques usually rely on experts, meaning using another EF technique, generally not properly validated, and exploit them mainly for output validations, meaning only at late stages. We propose a model, which builds on literature in Psychology and practice, to identify generic concepts and relations in order to support the analysis and design of EF techniques, thus inferring potential improvements during early stages in an expertfree manner. Our contribution lies in the identification and review of relevant literature, building the conceptual model, and illustrating its use through an analysis of existing EF techniques. Although the model can be improved, we can already identify strengths and limitations in recent EF techniques, thus supporting the usefulness of a model-based analysis and design for EF techniques

    Dispelling the Myths Behind First-author Citation Counts

    Get PDF
    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

    Author Index

    No full text
    Nao informado

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

    No full text
    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

    Analysing User Feedback and Finding Experts: Can Goal-Orientation Help?

    No full text
    Goal-oriented approaches in requirements engineering aim at understanding stakeholders’ needs, modelling the intentions, dependencies and expectation to be met by a system-to-be, or by a new release of an existing system in a software evolution process. In the context of software evolution, we consider user feedback, as commonly available in user forums and bug-trackers, as the information artefact that impacts specific requirements and design of the software. In this position paper, we argue about the advantages that goal-orientation can bring in this context when addressing the following issues: i) the analysis of user feedback, usually expressed as free or semi-structured text; and ii) the identification of the most expert users that can contribute to requirements evolution. We define the problems, state the emerging research questions and present contributions with the help of an illustrative example
    corecore