1,720,955 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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
PENGARUH PENAMBAHAN KAWAT BENDRAT GALVANIS PADA CAMPURAN BETON TERHADAP KUAT TEKAN BETON
Full text linkBeton merupakan konstruksi yang biasa digunakan dalam pembangunan struktur karena mampu menahan beban yang tinggi. Semakin tinggi struktur beton yang direncanakan, maka semakin tinggi pula mutu beton yang perlu dibuat. Dengan penambahan kawat bendrat pada beton diharapkan dapat meningkatkan kualitas dan mutu beton terutama pada kuat tekan beton itu sendiri. Penelitian ini dilakukan melalui pengujian material yang dilakukan di laboratorium. Beton yang akan dibuat adalah beton dengan mutu fc’ 25 (umur 28 hari), dengan penambahan kawat bendrat dengan variasi 0%, 5%, 10%, 15%, dan 20%. Hasil pengujian kuat tekan rata-rata beton normal adalah 19,12 MPa dan pada penambahan kawat bendrat 5%, 10%, 15%, dan 20% berturut-turut dihasilkan kuat tekan rata-rata beton sebesar 20,42 MPa, 22,40 MPa, 25 MPa, dan 19,81 MPa. Dari hasil pengujian diatas, dapat disimpulkan bahwa dengan penambahan kawat bendrat sebesar 5%, 10%, 15%, dan 20% terhadap campuran beton dapat meningkatkan kuat tekan beton itu sendiri. Tetapi, pada penambahan 20% terjadi peningkatan terendah dibandingkan dengan penambahan 5%, 10%, dan 15% tetapi tetap menunjukkan peningkatan dibandingkan dengan beton normal. Semakin tinggi kadar penambahan kawat bendrat tidak memastikan semakin tinggi penambahan kuat tekan beton tersebu
Comparison of Text Classification Techniques in Fake News Detection in the Digital Information Age
Full text linkA comparison of text classification techniques for detecting fake news in the digital information age has been discussed in this study, with a focus on the application of Deep Learning methods, specifically Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). The increasing spread of fake news through digital platforms emphasizes the importance of developing effective methods for identifying inaccurate information. In this study, a news dataset was collected from various sources, and both models were applied for text classification analysis. The performance of the model was then measured based on accuracy, precision, recall, and F1-score. The results showed that although both have their own advantages, better results in terms of processing speed and classification accuracy were found in CNN compared to RNN. These findings provide important insights for the development of more efficient and effective fake news detection systems in the digital age
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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