1,720,955 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
Rancang Bangun Sistem Informasi Peformance Penjualan, Perawatan, dan Suku Cadang, Aftersales Kepada Konsumen Berbasis Web
Get PDFDi era modern saat perkembangan dan kemajuan teknologi informasi yang sangat cepat mempengaruhi berbagai segi kehidupan dan profesi dalam masyarakat. Kebutuhan dalam penyampaian informasi berbasiskan komputer amatlah dibutuhkan. Terutama pemanfaatan teknologi untuk menyelesaikan permasalahan pengolahan data agar lebih efektif dan efisien. Dalam hal ini, PT MITRA MAKMURJAYA MANDIRI yang bergerak dalam bidang usaha penjualan motor, sparepart motor, jasa perawatan, dan asuransi motor, memiliki permasalahan dalam pengolahan data tentang penjualan barang dan jasa yang ditawarkan ke konsumen. Banyaknya data menyebabkan sulitnya menganalisa data tersebut. Dari permasalahan tersebut, dibuatlah sistem informasi yang menampilkan data-data penjualan, perawatan dan suku cadang tersebut berbasis web tersambung dengan database diperusahaan. Diharapkan dapat mempermudah dan memecahkan permasalahan yang terjadi di PT MITRA MAKMURJAYA MANDIRI. Pembuatan sistem informasi ini menggunakan framework CodeIgniter dan bahasa pemrograman PHP, HTML, Javascript serta Microsoft Access sebagai basis datanya
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Penerapan Algoritma Support Vector Regression (SVR) untuk Prediksi Harga Minyak Bumi
Get PDFMinyak bumi merupakan salah satu sumber energi primer dan memiliki nilai ekonomis untuk negara penghasilnya. Pemakaian minyak bumi di Indonesia mengalami peningkatan dan tidak diimbangi dengan minyak bumi yang dihasilkan. Untuk memenuhi penggunaan minyak bumi, pemerintah harus mengambil kebijakan import minyak bumi dari negrara lain. Indonesia sebagai salah satu negara pengimport minyak bumi diharuskan untuk memantau pergerakan harga minyak yang tidak stabil setiap harinya agar mendapatkan harga yang relatif murah sebelum harganya naik. Untuk menyelesikan permasalahan prediksi harga minyak, dibangunlah sebuah sistem prediksi harga minyak bumi menggunakan algoritma Support vector Regression (SVR) yang merupakan algoritma Support Vector Machine (SVM) untuk permasalahan regresi. Penggunaan algoritma SVR dibantu dengan kernel Linear, Polynomial, dan Radial Basis Function (RBF) untuk mengatasi ketidak linearan harga minyak bumi. Parameter tuning dilakukan untuk mendapatkan parameter yang optimal dari SVR dan kernel yang dipakai. Hasil penelitian pada data latih dan uji menunjukan bahwa parameter terbaik untuk kernel linear didapatkan pada C=0.001 dan epsilon=1 dengan nilai MAE=-5.213 dan MAPE sebesar 30.63%, pada kernel polynomial didapatkan nilai C=0.001, epsilon=0.1, gamma=1, coef0=2, dan degree=2 dengan nilai MAE=-23.313 dan MAPE sebesar 9.3% dan untuk kernel RBF didapatkan nilai C=100, gamma=0.0002, dan epsilon=0.005 dengan nilai MAE = -4.744 dan MAPE sebesar 7.62%. Hasil dari prediksi yang dievaluasi dengan data validasi secara berurutan ber-rentang waktu 1 minggu, 2 minggu, 1 bulan, 2 bulan, dan 3 bulan menghasilkan nilai MAPE terkecil pada rentang 1 minggu dan terbesar pada rentang 3 bulan. Disimpulkan dari hasil penelitian, kernel yang menghasilkan peforma terbaik adalah kernel RBF dan semakin pendek rentang waktu prediksi, MAPE yang dihasilkan kecil yang berarti semakin baik peforma prediksi yang dilakukan
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