1,720,953 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
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
More than optimism and pessimism: investor emotions and stock returns
No full textThis PhD thesis seeks to advance the fields of social economics and finance, asset pricing, and behavioural finance by investigating the influence of investor psychology on asset pricing through the analysis of social media data. The research spans three empirical chapters that explore how investor emotions impact the U.S. stock market, utilising both textual and visual data from StockTwits over the period 2011 to 2022, with analysis conducted at both daily and intraday frequencies. The study is distinguished by its innovative theoretical and methodological approaches. On the theoretical front, it is one of the first to incorporate multidimensional emotion models into financial research. Methodologically, it employs advanced machine learning techniques to extract reliable emotion indicators from social media platforms. The findings from all three chapters contribute significantly to the understanding of how different emotion dimensions influence stock market dynamics, providing valuable insights for investment strategists, risk managers, and policymakers concerned with the effects of investor emotion as conveyed through social media.
The first empirical chapter focuses on the impact of various dimensions of investor emotion on stock market performance, specifically analysing user-generated content on StockTwits. Through the application of machine learning algorithms, I developed a comprehensive lexicon to construct daily indices of investor emotions, guided by the Valence-Arousal-Dominance (VAD) model by Russell and Mehrabian (1977) and Plutchick’s (2001) wheel of emotions model. The analysis reveals a counter-cyclical relationship between investor pessimism and S&P 500 index returns, marked by subsequent reversals. Furthermore, there is a statistically significant positive correlation between investor arousal and dominance with stock market returns, with emotion states characterised by high arousal and dominance exerting a strong and positive influence on equity market performance in the following trading days.
In the second empirical chapter, I introduce an innovative method to forecast intraday returns of the S&P 500 index ETF using emotion analysis of StockTwits posts. This approach combines web scraping with lexicon-based emotional analysis at 30-minute intervals. The study enhances the existing emotion lexicon by integrating specific unigrams from the Loughran and McDonald (2011) and Renault (2017) word lists using the GloVeinitiated Neural Network Mapping Method. Additionally, I assign valence, arousal, and dominance scores to frequently used emojis, aligned with the VAD model, for the first time. The empirical results demonstrate that these emotion indices positively predict intraday returns in the S&P 500, though these effects often reverse within the same trading day. Notably, the emotion impact endures through at least four subsequent 30-minute trading intervals, highlighting the significant economic implications for asset management and indicating that noise traders largely drive return predictability.
The third empirical chapter extends the analysis to examine the influence of emotion dimensions on daily returns of the S&P 500 index, incorporating the examination of images alongside traditional text and emojis. Using machine learning algorithms, I construct daily indices of emotion dimensions derived from both visual and textual content on StockTwits. The findings suggest that image-based emotion indices are robust predictors of stock market returns, even when controlling for the influence of traditional texts and emojis. Moreover, images with realistic qualities evoke stronger emotion responses after excluding cartoonish visuals, leading to a more pronounced effect on market returns. This observation highlights the amplifying role of realistic images in intensifying the emotion impact of the associated textual content.
Additional tests have been conducted across the three empirical chapters, including controls for traditional news emotions, an examination of the influence of investor emotions on size factors, and a preliminary exploration of their impact on market volatility. These tests further validate the importance of analysing investor emotions through the lens of the emotion dimension model
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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