1,721,049 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
Preface
In this paper we propose to use radial layouts for representing the matching between the user’s interest and particular objects
and/or categories. The technique supports the visualization of different data: we discuss here the relationships on social networks,
the related videos on YouTube and topics in Wikipedia. The user can change the position of the object in the representation,
which can be used in recommender systems for providing a fine-grained control over its internal preference representation
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
GestIT: a declarative and compositional framework for multiplatform gesture definition
Gestural interfaces allow complex manipulative interactions
that are hardly manageable using traditional event handlers.
Indeed, such kind of interaction has longer duration in time
than that carried out in form-based user interfaces, and
often it is important to provide users with intermediate
feedback during the gesture performance. Therefore, the
gesture specification code is a mixture of the recognition
logic and the feedback definition. This makes it difficult 1)
to write maintainable code and 2) reuse the gesture
definition in different applications. To overcome these
kinds of limitations, the research community has considered
declarative approaches for the specification of gesture
temporal evolution . In this paper, we discuss the creation
of gestural interfaces using GestIT, a framework that allows
declarative and compositional definition of gestures for
different recognition platforms (e.g. multitouch and fullbody),
through a set of examples and the comparison with
existing approache
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
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
Improving the accuracy of latent-space-based recommender systems by introducing a cut-off criterion
Recommender systems filter the items a user did not evaluate, in order to acquire knowledge on the those that might be suggested to her. To accomplish this objective, they employ the preferences the user expressed in forms of explicit ratings or of implicitly values collected through the browsing of the items. However, users have different rating behaviors (e.g., users might use just the ends of the rating scale, to expressed whether they loved or hated an item), while the system assumes that the users employ the whole scale. Over the last few years, {\em Singular Value Decomposition} () became the most popular and accurate form of recommendation, because of its capability of working with sparse data, exploiting latent features. This paper presents an approach that pre-filters the items a user evaluated and removes those she did not like. In other words, by analyzing a user's rating behavior and the rating scale she used, we capture and employ in the recommendation process only the items she really liked. Experimental results show that our form of filtering leads to more accurate recommendations
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