1,720,987 research outputs found

    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

    Estimating soil texture with laser-guided Bouyoucos

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    The main objective of estimating soil texture is to determine amounts of components of the soil. While the analysis of coarse particles is performed by sieving, Bouyoucos-hydrometer method is used to determine percentages of small particles (silt and clay, also sand). However, these traditional methods require expertise, laboratory environment, sensitive equipment and a long-time period. All of these requirements are overcome by “Laser-Guided Bouyoucos” which is proposed in this study. The proposed device estimates the amount of components of soil by passing laser light through the beaker and evaluates the changes in the magnitude of light. Besides, the device requires no expert or laboratory medium for measurements, can be built using easy-to-find and cheap equipment, and most importantly, can be mobile for in-situ use. Several soil samples preanalysed by Bouyoucos-hydrometer method are used in this study. The error of the proposed device was calculated by summing the absolute errors of sand, silt and clay components, and the average of all errors is only 2.25%. Although more soil samples are needed to test the system, according to the successful results on the used dataset, we believe that soil texture can be analysed quickly without an expert or a laboratory

    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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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

    Graf Merkezilik Algoritmalarının Anlamsal Mesafe için Karşılaştırılmaları

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    Arslan, Enis ; Orhan, Umut, (Çukurova Üniversitesi Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü) ; Turan, Erhan, (Osmaniye Korkut Ata Üniversitesi Mühendislik Fakültesi Bilgisayar Mühendisliği Bölümü) ; Tülü, Çağatay, (Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi Bilgi İşlem Daire Başkanlığı)Semantic networks are kind of datasets used for natural language processing (NLP). Distance measurement for semantic networks, which are generally based on a graph structure, is a vital requirement for semantic analysis on concepts. Centrality measures can be used for calculating the semantic distance between concepts in a semantic network. In this paper, we evaluated graph centrality algorithms including PageRank, Hyperlink-induced Topic Search (HITS), and Betweenness Centrality on a semantic network, which was created from a Turkish dictionary dataset. Centrality measures special to these algorithms are used to calculate the semantic distance between synonym pairs in the semantic network. Also, we have used a simple centrality method beside the other three popular centrality algorithms to find out the most accurate and cost-effective method on our semantic network. Working on a bipartite model of the network which increases the complexity of implementation for centrality algorithms and performing calculations on a semantic network, that can be expanded with new nodes and edges, are two major challenges to overcome. Considering all these conditions, results from each algorithm are compared to pick out an optimal method for the semantic network.Anlamsal ağlar, doğal dil işleme (DDİ) için kullanılan graf tabanlı veri kümeleridir. Anlamsal ağlarda mesafe ölçümü ise, kavramların ağ içinde ilişkiler ile birbirine bağlılığının anlamsal analizi için çok önemli bir yere sahiptir. Bağlantılılık ölçümleriyle elde edilen değerler, anlamsal ağlardaki kavramlar arasındaki mesafe hesaplamaları için kullanılabilinir. Bu çalışmada, PageRank, Hyperlink-induced Topic Search (HITS) ve Arasındalık Merkeziliği graf bağlantılılık algoritmaları, Türkçe sözlükteki kavramlardan oluşturulan anlamsal ağ üzerinde uygulanmış ve elde edilen değerler ile anlamsal ağdaki eş anlamlı sözcükler arasındaki mesafe hesaplanmıştır. Bu üç önemli graf bağlantılılık algoritmaları, bu çalışmada kullanılan anlamsal ağ için tasarlanmış olan temel bir bağlantılılık yöntemiyle karşılaştırılmıştır. İki parçalı graf tasarımı ile oluşturulmuş olan Türkçe Sözlük anlamsal ağı üzerinde geleneksel graf bağlantılılık algoritmalarının uygulanması daha karmaşık hale gelmektedir. Uygulama esnasında gereken işleme zamanını arttırması, ayrıca ağa eklenecek olan yeni kavramlar ve bağlantılar sonrası ağın tekrar anlamsal mesafe için hesaplamalara ihtiyaç duyması, bağlantılılık algoritmalarının karşılaştığı iki önemli sorundur. Bu zorluklar ve anlamsal ağın iki parçalı graf yapısı göz önüne alındığında, her bir algoritma ile elde edilen sonuçlar karşılaştırılmış ve tasarlanan anlamsal ağ için en verimli yöntem bulunmaya çalışılmıştır
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