1,720,963 research outputs found

    Climaps by Emaps in 2 Pages (A Summary for Policy Makers and Busy People)

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    Climaps.eu is an online atlas providing data, visualizations and commentaries about climate adaptation debate. It contains 33 issue-maps and 5 issue-stories. Each of the maps focuses on one issue in the adaptation debate and provides. The atlas is addressed to climate experts (negotiators, NGOs and companies concerned by global warming, journalists...) and to citizens willing to engage with the issues of climate adaptation. It employs advanced digital methods to deploy the complexity of the issues related to climate adaptation and information design to make this complexity legible

    Street-level City Analytics: Mapping the Amsterdam Knowledge Mile

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    This paper presents digital methods for city analytics, applied to the mapping and activation of an urban area in the city of Amsterdam called the Knowledge Mile. Firstly, we map companies registered in the area and analyse their connections through on-line hyperlinking. Secondly, we use Instagram, Panoramio and Google Search data to map most- shared photos and high-ranked images of the area. Lastly, we use Foursquare data to map most-shared locations. The produced maps visualize the online presence and resonance of an urban area that is an axis cutting through the city center and crossing many district and neighborhood ‘borders’. The maps have been used as navigational tools and conversation pieces during workshops and participatory design sessions with local stakeholders

    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

    Dust: A Visualization Tool Supporting Parents’ School-Choice Evaluation Process

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    How does a parent choose the best school for their child? Dust is an ongoing research project developed for Iridescent, an American NGO. The project’s aim is to provide a freely available, web based information visualization tool that supports parents in exploring and comparing the educational offerings (from Pre-K to High School) from selected major cities in the United States, currently: New York, Los Angeles, and the San Francisco Bay Area. By leveraging a step-by-step decision making process, Dust helps to evaluate and compare school profiles based on multidimensional data-sets composed of general information (e.g., enrollment, class size, number of teachers), school performances (e.g., subjects score and proficiency, attendance), and urban mobility (e.g., location, distances, transportation). Supported by geographical maps and close-up visualizations users can create custom profiles based on their needs and priorities and then perform a search for the most appropriate schools for their children. Dust aims to combine the capability of information visualization in depicting synthetic views of complex, multidimensional, and georeferenced data; with a rich, yet intuitive, web-user experience. The project aims to move away from a “by experts, for experts” design paradigm to a schools comparison information visualization “for the people” -providing real impact on their daily life, and future prospects, through improved choices

    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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