1,720,971 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Learning-Augmented Algorithms
No full textTraditional worst case analysis of algorithms does not fully capture real world behavior in many instances. Inspired by the great success of machine learning algorithms for various practical tasks, there has been recent interest in moving beyond pessimistic analysis of algorithms through the use of additional learned information.
In this thesis, we consider further application of this “learning-augmented” framework for three classical algorithms problems: -means clustering, counting triangles in a graph stream, and estimating the support of a discrete distribution.
The problems we study are fundamental in their own right; clustering is typically one of the first methods used to understand the structure of large datasets and -means is the most popular clustering formulation by far. In addition, counting triangles in a graph is a basic tool of network analytics and community detection in social networks. Lastly, the problem of estimating the number of distinct elements in a large data set (or, equivalently, the support size of the distribution induced by the data set) from a random sample of its element occurs in many applications, including biology, genomics, computer systems and linguistics.
In each of these applications, we design algorithms that use predictors (that are based, e.g., on prior instances of the problem) which provide structural information about the inputs. Our theoretical analysis shows that such information can indeed be leveraged to overcome worst case barriers. In addition, we also show that such predictors can be implemented in practice and our algorithms are evaluated on real world datasets. Our experiments demonstrate substantial improvements in the performance compared to prior state-of-the-art algorithms that do not employ any learned information.S.M
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
A Concentration Inequality for the Facility Location Problem
Get PDFWe give a concentration inequality for a stochastic version of the facility
location problem. We show the objective is concentrated in an interval
of length and \E[C_n]=\Theta(n^{2/3}) if the input consists
of i.i.d. uniform points in the unit square. Our main tool is to use a
geometric quantity, previously used in the design of approximation algorithms
for the facility location problem, to analyze a martingale process. Many of our
techniques generalize to other settings.Comment: Operations Research Letters, Volume 5
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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