1,720,986 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
Akademik Etkiyi ve Araştırma Konularının Eğilimini Tahminleme
No full textPredictions on academic research are thoroughly studied in the literature. In this thesis, we focus on two prediction problems in this domain. First we study the problem of topic adoption prediction for an author within a social academic network. We model the problem with an influence detection point of view, and propose that the influence on the author is an important factor. Hence, we define a novel influencee prediction based feature and developed an algorithm to calculate the influence propagated towards the author. The effect of this feature is explored together with and in comparison to other features used in the literature for the problem. The experiments conducted on Arnet Miner data set show that accumulated influence on author is effective for predicting topic adoption.
As a second problem, we try to enlarge our scope and generalize by focusing on predicting the trending research topics from a collection of academic papers. Previous efforts model the problem in different ways and mostly apply classical approaches such as correlation analysis and clustering. There are also several recent neural model based solutions, however they rely on feature vectors and additional information for the trend prediction. In this work, given a collection of publications within the observation time window, we predict whether the use of a keyword will increase, decrease or be steady for the future time window (prediction window). As the solution, we propose a family of deep neural architectures that focus on generating summary representations for paper collections under the query keyword. Due to the sequence based nature of the data, Long Short-Term Memory (LSTM) module plays a core role, but it is combined with different layers in a novel way. The first group of proposed neural architectures consider each paper as a sequence of keywords and use word embeddings to construct paper collection representations. In this group, the proposed architectures differ from each other in the way year based and overall summary representations are constructed. In the second group, each paper is directly represented as a vector and the use of different paper embedding techniques are explored. The analyses of the models are performed on a variety of paper collections belonging to different academic venues, obtained from Microsoft Academic Graph data set. The experiments conducted against baseline methods show that proposed deep neural based models achieve higher trend prediction performance than the baseline models on the overall. Among the proposed models, paper embedding based models provide better results for most of the cases.Akademik çalışmalara ilişkin tahminleme literatürde kapsamlı bir şekilde incelenmektedir. Bu tezde bu alandaki iki tahmin problemine odaklanılmaktadır. İlk olarak, bir sosyal akademik ağ içindeki bir yazar için konu benimseme tahminleme problemi incelenmektedir. Sorun bir etki tespit bakış açısıyla modellenip ve yazar üzerindeki etkinin önemli bir faktör olduğu önerilmektedir. Bu nedenle etki alımına dayalı yeni bir özellik tanımlandı ve yazara yayılan etkiyi hesaplamak için bir algoritma geliştirildi. Bu özelliğin etkisi, problem için literatürde kullanılan diğer özelliklerle birlikte ve bunlarla karşılaştırılarak araştırıldı. Arnet Miner veri seti üzerinde yapılan deneyler, yazar üzerinde birikmiş etkinin, konunun benimsenmesini öngörmede etkili olduğunu göstermektedir.
İkinci problem olarak, bir akademik makale koleksiyonundan araştırma konularının eğilimini tahmin etmeye odaklanarak kapsamımızı genişletmeye ve genelleştirmeye çalışıyoruz. Önceki çalışmalar sorunu farklı şekillerde modellemekte ve çoğunlukla korelasyon analizi ve kümeleme gibi klasik yaklaşımları uygulamaktadır. Ayrıca birkaç yeni sinir modeli tabanlı çalışma vardır, ancak bunlar eğilim tahmini için özellik vektörlerine ve ek bilgilere ihtiyaç duyarlar. Bu çalışmada gözlem zaman dilimi içinde bir yayın koleksiyonu verildiğinde, sonraki zaman dilimi (tahmin zaman dilimi) için sorgulanan bir anahtar kelime kullanımının artacağı, azalacağı veya sabit kalacağı tahminleniyor. Çözüm olarak sorgu anahtar kelimesi için yayın koleksiyonlarından özet temsiller oluşturmaya odaklanan bir takım derin nöral mimarileri öneriyoruz. Verilerin sıra tabanlı yapısı nedeniyle Uzun Kısa-Süreli Bellek (LSTM) modülü temel bir rol oynar, ancak farklı katmanlarla yeni bir şekilde birleştirilir. Önerilen nöral mimarilerin ilk grubu, her makaleyi bir anahtar sözcük dizisi olarak kabul eder ve yayın koleksiyonu temsillerini oluşturmak için kelime temsilinden başlanır. Bu grupta önerilen mimariler yıl bazlı ve genel özet temsillerin oluşturulma şekli bakımından birbirinden farklıdır. İkinci grupta her yayın doğrudan bir vektör olarak temsil edilir ve farklı doküman temsil tekniklerinin kullanımı araştırılır. Modellerin analizleri Microsoft Academic Graph veri setinden elde edilen farklı akademik mekanlara ait çeşitli yayın koleksiyonları üzerinde gerçekleştirilmiştir. Temel yöntemlere karşı yapılan deneyler, önerilen derin sinir tabanlı modellerin genel olarak temel modellerden daha yüksek eğilim tahmin performansı elde ettiğini göstermektedir. Önerilen modeller arasında yayın temsili tabanlı modeller çoğu durumda daha iyi sonuçlar vermektedir.Ph.D. - Doctoral ProgramTÜBİTAK 2211 ScholarshipTÜBİTAK grant 117E56
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
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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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