1,721,075 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Beyond frequencies: Graph Pattern mining in multi-weighted graphs
No full textGraph pattern mining aims at identifying structures that appear frequently in large graphs, under the assumption that frequency signies importance. Several measures of frequency have been proposed that respect the apriori property, essential for an e-cient search of the patterns. This property states that the number of appearances of a pattern in a graph cannot be larger than the frequency of any of its sub-patterns. In real life, there are many graphs with weights on nodes and/or edges. For these graphs, it is fair that the importance (score) of a pattern is determined not only by the number of its appearances, but also by the weights on the nodes/edges of those appearances. Scoring functions based on the weights do not generally satisfy the apriori property, thus forcing many approaches to employ other, less ecient, pruning strategies to speed up the computation. The problem becomes even more challenging in the case of multiple weighting functions that assign dierent weights to the same nodes/edges. In this work, we provide ecient and eective techniques for mining patterns in multi-weight graphs. We devise both an exact and an approximate solution. The rst is characterized by intelligent storage and computation of the pattern scores, while the second is based on the aggregation of similar weighting functions to allow scalability and avoid redundant computations. Both methods adopt a scoring function that respects the apriori property, and thus they can rely on eective pruning strategies. Extensive experiments under dierent parameter settings prove that the presence of edge weights and the choice of scoring function aect the patterns mined, and hence the quality of the results returned to the user. Finally, experiments on datasets of dierent sizes and increasing numbers of weighting functions show that, even when the performance of the exact algorithm degrades, the approximate algorithm performs well and with quite good quality
The incidence of craniomandibular disorders in patients with cervical dysfunctions. A clinico-statistical assessment
No full textThe aim of this research was to measure the incidence of craniomandibular disorders in a group of patients with functional-type cervical alterations. The group consisted of 50 patients undergoing treatment for disorders of the cervical sectors of the spine. Each patient was subjected to a medical examination to investigate the presence of CMD signs or symptoms. From the data statistical analysis a higher percentage of cases with muscular and joint pain, limited mouth opening, deviation and deflection, were found in comparison with the percentage found among the general population. This demonstrates an overloading of the entire masticatory apparatus. Joint noise was less frequent, probably due to its exclusion from our sample of patients with arthrosis-type degenerative pathology
Overdenture mandibolare ancorata a singolo impianto: studio numerico e studio sperimentale in vitro e in vivo
No full textSharing-DNA: a data-driven tool to map the attitude towards sharing services across Europe
No full textPlanning mobility solutions that are tailored to the users needs, while being sustainable and energy efficient, will be crucial for the development of the Smart Cities of the future. This is especially true nowadays, given the environmental and political issues characterizing this historical time. Sharing mobility can be an asset in increasing the sustainability of daily transportation in urban areas, allowing more people to move around, while leading to energy and resource savings. At the same time, there are several barriers preventing the adoption of this mobility solution. In this work, we introduce the steps leading to the construction of the Sharing-DNA, a novel data-driven tool to understand the main levers of individual attitudes towards sharing services. By compactly embedding relevant information on the socio-economic profile and mobility preferences of potential adopters, this new tool can be of use for the design of incentive policies in the future Smart Cities. This is proven by the preliminary results obtained by exploiting the Sharing-DNA to detect clusters of sharing-oriented and less sharing-enthusiast individuals within Europe. The characteristics of these clusters allow us to shed a light on the attributes of the final users (or potential ones) of sharing services, providing a useful machinery for the design of common fostering policies
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