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    Distributed detection in wireless sensor networks

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    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

    Challenges in using the Kingman Equation for Prediction and Validation

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    This paper discusses the application of the Kingman formula as a means for verification and validation of a production simulation framework. It turns out that this approach generates more questions than answers. This leads to a more in-depth analysis of the Kingman equation properties and the need for refinement of the resulting quantities for the practitioner. First, the one-stage queueing problem and its properties are analyzed. Then a discrete simulation model is implemented utilizing an industry standard factory simulation framework. A puzzling outcome is the observation that the simulation results match the Kingman approximation reasonably well at lower levels of utilization at which the Kingman equation itself is not very accurate, but they don’t match well at high levels of utilization at which the equation is more accurate. Alternative implementation means lead to similar results. It turns out that only one approach chosen utilizing the Lindley equation generates reasonable results, leaving the suggestion of accumulation of rounding errors as a source of the mismatch with all other approaches. The Kingman formula is applicable to general distribution patterns. Four common such patterns are employed and the results are compared to the Kingman equation, proving the point. The paper finishes with recommendations for simulation verification, it advises against the use of stochastic phenomena models like the Kingman formula, it does however strongly advise for verification means in general, based on the experienced gathered during the course of the studies discussed herein

    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
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