1,720,959 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
Temporal Point Processes for Forecasting Events in Higher-Order Networks
No full textReal-world systems consisting of interacting entities can be effectively represented as time-evolving networks or graphs, where the entities are depicted as nodes, and the interactions between them are represented as instantaneous edges. Modeling the evolution of these systems and forecasting interaction events are important for many fields, such as e-commerce, financial markets, neuroscience, etc. This is achieved using the Temporal Point Process (TPP) framework, a stochastic process that models these interactions as discrete events occurring in continuous time. The existing works on interaction forecasting are applicable only to pair-wise edges.
However, real-world interactions are much more complex than pair-wise interactions. It involves a group of entities interacting in a complex way rather than just two entities. This leads to the formation of time-evolving higher-order networks. There has not been much research to develop machine learning algorithms for event prediction in these types of networks. This thesis addresses this by providing solutions to the following problems: (i) How can we train models on the events observed in a higher-order network? (ii) Considering the number of possible events grows exponentially when problem setting changes from pair-wise to higher-order, can we forecast the next event in a scalable way? (iii) How to model the influence of interactions on nodes in a higher-order network, and how to improve its scalability? (iv) How can we incorporate relations and group structure within an interaction to an event forecasting model?
The first contribution of this thesis is a model for forecasting interactions among a group of entities as instantaneous hyperedge events in a network. In this model, we introduce a TPP on each hyperedge, with the conditional intensity parameterized by a hyperedge link predictor that uses node embeddings. We employ a dynamic node embedding strategy to account for the temporal evolution of entities with each interaction. Here, all the model parameters are learned by a mini-batch based negative log-likelihood calculation with negative sampling for incorporating unseen hyperedges. Furthermore, our model has been extended to accommodate bipartite interactions, where interactions occur between two distinct groups of entities of different types. To achieve this, we introduce a bipartite hyperedge link predictor and use separate node embedding modules for each node type.
Secondly, we propose a model to forecast directed higher-order interactions occurring between two distinct groups of entities. Unlike the previous approach that focuses on representation learning from higher-order network events, here we also introduce a strategy to forecast hyperedges in a scalable way. For that, we employ a multi-task framework for forecasting candidate hyperedges. This involves a TPP-based model to predict the time of events on each node, followed by pairwise neighborhood and hyperedge size prediction modules for generating candidate hyperedges. This will reduce the exponential search in forecasting future hyperedges in the previous models. Then a directed hyperedge link predictor is used to identify the true hyperedge from false ones. Further, we devise a dynamic node embedding architecture that processes samples in a batch using memory network and temporal graph attention modules. This improves the scalability of the model when dealing with datasets containing a large number of events.
In our final contribution, we extend the existing interaction forecasting approaches based on TPP to accommodate real-world interactions that involve internal group structures of different types. Here, each group is associated with a specific relation type, and to address this complexity, we introduce the concept of multi-relational recursive hyperedge formation events. In this framework, hyperedges can serve as nodes within other hyperedges, creating a hierarchical structure. Further, we also introduce a contrastive learning strategy to learn model parameters without using the intractable likelihood of TPP.
In conclusion, this thesis emphasizes and demonstrates the importance of employing higher-order temporal network models to forecast interactions in real-world systems accurately. To achieve this, we created deep neural network based approaches for dynamic node embedding to extract information from historical data and link predictors to model the occurrence of the edge formation event. Then devised different strategies to train these models and forecast events from them
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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