1,720,983 research outputs found
BOOLEAN MATRIX DECOMPOSITION AND EXTENSION WITH APPLICATIONS
Boolean matrix decomposition (BMD) refers to decomposing of an input Boolean matrix into a product of two Boolean matrices, where the first matrix represents a set of meaningful concepts, and the second describes how the observed data can be expressed as combinations of those concepts. As opposed to standard matrix factorization, BMD focuses on Boolean data and employs Boolean matrix prod-uct instead of standard matrix product. The key advantage of BMD is that BMD solutions provide much more interpretability, which enable BMD to have wide applications in multiple domains, including role mining, text mining, discrete pat-tern mining, and many others. There are three main challenges in the research of BMD. First, real applica-tions carry varying expectations and constraints on BMD solutions, which make the task of searching for a good BMD solution nontrivial. Second, BMD by itself has the issue of insufficiency in modeling some real data semantics, as only the set union operation is employed in combination. Third, BMD variants are generally i
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
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
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
ReLOG:A Unified Framework for Relationship-Based Access Control over Graph Databases
Relationship-Based Access Control (ReBAC) is a paradigm to specify access constraints in terms of interpersonal relationships. To express these graph-like constraints, a variety of ReBAC models with varying features and ad-hoc implementations have been proposed. In this work, we investigate the theoretical feasibility of realising ReBAC systems using off-the-shelf graph database technology and propose a unified framework through which we characterise and compare existing ReBAC models. To this end, we formalise a ReBAC specific query language, ReLOG, an extension to regular graph queries over property graphs. We show that existing ReBAC models are instantiations of queries over property graphs, laying a foundation for the design of ReBAC mechanisms based on graph database technology.</p
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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