1,720,959 research outputs found

    Related Data for: Tier 1 grant RG221

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    Selective On-Site Hydrogen Peroxide Synthesis via Electrochemical Oxygen Reduction Reactio

    Related Data for: grant A20E5c0080

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    Engineering Single-Atom Catalysts for Wastewater Treatment via Fenton-like Reactio

    Related Data for: 022116-00001

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    Polymer Electrolyte Membrane (PEM) and Seawater Electrolyzers Assembled from Single-Atom Catalyst

    Related Data for: Tier 1 grant RG420

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    Constructing High-Loading Single-Atom/Cluster Catalysts via Electrochemistr

    Effect of Network Structure and Committed Minority Placement in Promoting Social Diffusion

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    Social diffusion is the phenomenon whereby a population collectively adopts a novel (alternative) behavior, opinion, product, or technology to replace an existing status quo. Often the process is driven by a small number of individuals, termed committed minority, who stubbornly promote the alternative. In this work, we use an experimentally proven game-theoretic agent-based model to explore how social diffusion is influenced by the network of social interactions, the placement of committed minority, and the timing that committed minority are introduced into the network. Through a campaign of Monte Carlo simulations, we find that diffusion occurs quicker on sparse and highly clustered networks. In addition, we show that placing the committed minority at nodes with the highest Bonacich centrality with a negative attenuation factor seems to be the best approach for facilitating diffusion. Then, we find that the timing of introducing committed minority has a negligible effect on the diffusion process. Finally, our findings are tested and confirmed on two case studies of real-world networks

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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
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