1,720,970 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
Voetbalanalyse ontmoet artificiële intelligentie: het leren van waarde en stijl uit voetbal event stream data
No full textSoccer analytics has seen an explosion of interest in the last decade. The success of data analysis in other sports has driven soccer clubs and other stakeholders in soccer to wonder if they could also deepen their understanding of the game by analyzing data and translate this deepened understanding into tangible results such as signing good players and winning matches. Consequently, more data than ever is being collected in soccer. One prominent data source is event stream data, which is collected by human annotators who watch video feeds of soccer matches through special annotation software and rigorously describe all on-the-ball actions performed on the pitch such as passes, dribbles, interceptions, tackles, and shots.
While event stream data is an incredibly rich data source, gleaning useful soccer insights from it has proven to be difficult in practice. One part of the problem is soccer being a fluid sport that involves many complex interactions between players. Furthermore, soccer's low-scoring nature and susceptibility to chance make it hard to correlate player skill with match results. Another part of the problem is event stream data being hard to analyze in its raw form. Analysts typically have to deal with a number of issues such as parsing complicated data structures, adapting to vendor-specific terminologies, dealing with data sparsity, scaling to millions of data points, and incorporating domain knowledge.
These issues have motivated researchers to apply techniques from the field of artificial intelligence (AI) to event stream data, as these techniques are often intended to be used semi-autonomously on large and complicated data sets. Consequently, researchers have successfully used AI techniques such as classification, reinforcement learning, pattern mining, and network analysis to address soccer analytics tasks such as estimating shot quality, rating players, and detecting tactics.
However, existing literature on learning from event stream data with AI techniques shows a number of shortcomings. First, no efforts have been made to address the data engineering challenges of event stream data, severely obstructing the reproducibility of papers within the field. Second, no approaches exist for valuing on-the-ball actions that consider the full context in which actions are performed or recognize the value of defensive actions such as tackles and clearances. Third, existing works have not sufficiently explored how to best model the locations and directions of actions when capturing the playing style of teams and players. Most approaches that attempt to capture playing style either rudimentarily divide the pitch into zones or ignore the spatial component of event stream data all together.
This dissertation makes three main contributions to the field of soccer analytics that attempt to address these shortcomings. First, to better represent event stream data, we construct a new language that simplifies and unifies the data of different event stream data vendors, alleviating many data engineering challenges and encouraging the reproducibility of soccer analytics research. Second, we propose a framework for assigning values to on-the-ball actions that, compared to simpler metrics and possession-based approaches, considers a more complete view of the context in which actions occur. Our framework uses a simple and elegant formula that formalizes the intuition that all actions in a match are performed with the intention of increasing the chance of scoring a goal and/or decreasing the chance of conceding a goal. The latter point is what allows our framework to recognize the value of defensive actions.
Third, we introduce a number of approaches that express the playing style of teams and players based on where on the pitch they perform certain types of actions. Our approaches improve over earlier work by modelling the spatial component of event stream data in a data-driven manner using decomposition techniques such as non-negative matrix factorization and mixture models.status: Publishe
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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