1,721,012 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Computational joint action: dynamical models to understand the development of joint coordination

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    Previous joint action studies using sensorimotor games suggest that human dyads develop coordination strategies which can be interpreted as Nash equilibria. In a previous study, we argued that if players are uncertain about what their partner is doing, they develop a coordination strategy which is more robust to the actual partner actions. This suggested that humans maintain an explicit representation of what the partner will be doing - a partner model - which also accounts for their degree of confidence about it. However, the mechanisms underlying the development of a joint coordination over repeated trials remain unknown. Very much like individual sensorimotor control, dynamical models can be used to understand how joint coordination develops. Here we present a general computational model - based on game theory and Bayesian estimation - to understand the mechanisms underlying the development of a joint coordination. A joint task is modeled as a quadratic game. Each player predicts their partner's next move (partner model) by optimally combining predictions and sensory observations, and selects their actions through a stochastic optimization of its expected cost, given the partner model. We show that the model captures well the temporal evolution of performance in a previous joint action experiment, and the estimated parameters provide a comprehensive characterization of individual participants in a dyad

    Partner Representation in Competitive Interaction: Implications for Neurorehabilitation

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    During rehabilitation patients are required to perform movements that are difficult for them to do alone. By effectively promoting player engagement and motivation, competitive settings are potentially useful in rehabilitation. However, in these scenarios the mechanisms underlying adapting to each partner are poorly understood. Here we address competitive interaction by using dyadic haptic interfaces, where pairs of participants repeatedly play a ball game (penalty kick). We manipulated the amount of information each participant had about their partner location. We found that in different experimental conditions the participants changed their behavior. We compared these results with simulations based on a computational model that assumes optimal action estimation and selection. Our findings are consistent with the model predictions: the players seem to develop a model of the partner during the interaction and adapt the model to different conditions

    Dispelling the Myths Behind First-author Citation Counts

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    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

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