1,720,957 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
K-Nearest Neighbor Implementation in the application of Appraisal Comparison Data Search
Get PDFAppraisal is an activity to estimate the price of an object. This activity is often used to get a fair price for a property. The approach that is often used in property valuation is to compare objects that are valued with market data as a comparison. This study aims to obtain comparative data on appraisal. The method used is the K-Nearest Neighbor (K-NN) and ecludean distance classification method to find the proximity of the object being assessed with market data around the object to be assessed. The finding of this study is in the form of a comparative data search application using the K-NN method with a total K = 3
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
Seleksi Pegawai dan Dosen UMRI Berbasis E-Recruitment Menggunakan Metode K-Nearest Neighbor
No full textAbstrakRekrutmen merupakan langkah awal yang dilakukan oleh Universitas Muhammadiyah Riau (UMRI), guna menjaring calon tenaga kerja yang professional. Profesionalitas dibutuhkan sebagai salah satu input bagi lembaga pendidikan Muhammadiyah untuk menghasilkan output yang sesuai dengan visi dan misi lembaga pendidikan Muhammadiyah. UMRI sebagai Amal Usaha Muhammadiyah (AUM) dibidang pendidikan perlu melakukan beberapa upaya untuk bisa mendapatkan calon pegawai dan dosen yang professional. Seiring perkembangan ilmu pengetahuan dan teknologi, UMRI perlu mengimplementasikan E-recruitment sebagai salah satu teknologi yang bisa digunakan untuk menjaring pegawai dan dosen yang profesional. Penelitian ini bertujuan bagaimana penerapan metode klasifikasi K-Nearest Neighbor (K-NN) dalam system e-recruitment untuk seleksi awal pegawai dan dosen UMRI. Metode K-NN akan menghitung tingkat kemiripan dengan cara mengukur jarak antara persyaratan yang ditetapkan oleh bagian kepegawaian UMRI dengan data yang dimiliki oleh calon pegawai dan dosen. Selanjutnya diambil nilai K dari pelamar yang nilai kemiripannya ≥80%. Pelamar yang mimiliki nilai kemiripan ≥80% inilah nantinya yang akan diikutsertakan pada tes berikutnya. Penelitian ini menghasilkan sebuah system informasi e-recruitment yang dikembangkan menggunakan metode pengembangan perangkat lunak waterfall. Kata kunci: Seleksi Pegawai, Seleksi Dosen, E-Recruitmen. AbstractRecruitment is the first step taken by Muhammadiyah University of Riau (UMRI), in order to capture prospective professional workforce. Professionalism is needed as an input for the Muhammadiyah educational institution to produce output in accordance with the vision and mission of the Muhammadiyah educational institution. UMRI as a Amal Usaha Muhammadiyah (AUM) in the field of education needs to make some efforts to get prospective employees and professional lecturers. Along with the development of science and technology, UMRI needs to implement E-recruitment as one of technology that can be used to gather professional officers and lecturers. This study aims how the application of the K-Nearest Neighbor (K-NN) classification method in e-recruitment system for early selection of employees and lecturers of UMRI. The K-NN method will calculate the level of similarity by measuring the distance between the requirements set by the employment department of UMRI with data held by prospective employees and lecturers. Furthermore, K value was taken from applicants whose value is similar to ≥80%. Applicants who have a similarity value of ≥80% later this will be included in the next test. This research produces an e-recruitment information system developed using waterfall software development method. Keywords: Employee Recruitment, Lecturer Recruitment, E-recruitment</em
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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