1,720,956 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Implementasi Algoritma C4.5 Pada Jumlah Penduduk Kota Prabumulih menggunakan Metode Klasifikasi
Full text linkPenelitian ini bertujuan untuk mengklasifikasikan jumlah penduduk berdasarkan pekerjaan dari tahun 2018 sampai dengan tahun 2020 pada badan pusat statistik dan dinas kependudukan pencatatan sipil kota prabumulih dengan menerapkan algoritma c4.5. penulis membatasi masalah hanya memberikan informasi data jumlah penduduk berdasarkan pekerjaan. data dalam penelitian ini adalah data set kependudukan yang di ambil langsung pada dinas kependudukan dan pencatatan sipil dan badan pusat statistik. Jenis pengambilan data yang digunakan menggunakan pengambilan data sekunder. metode yang digunakan penulis dalam penelitian ini menggunakan metode deskriptif kualitatif . metode analis kebutuhan data yang digunakan menggunakan tahapan knowladge discovery-in data base. Berdasarkan hasil penelitian dan analisis yang telah dilakukan penulis dapat di simpulkan bahwa bertambah nya jumlah penduduk berdasarkan pekerjaan mengalami sedikit peningkatan. Hal ini dapat di lihat dari data hasil yang di keluarkan dengan klasifikasi masing-masing per kecamatan yang berbentuk pohon keputusan yang di bantu dengan software weka
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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
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
Klasifikasi Data Penerimaan Mahasiswa Baru Pada Universitas Bina Darma Menggunakan Algoritma K-Means Clustering
Full text linkTujuan dari penelitian ini adalah mengelompokkan data mahasiswa baru tahun 2019 sampai dengan 2021 pada Univesitas Bina Darma dengan memanfaatkan proses data mining dengan menggunakan algoritma K-means clustering. implemetasi menggunakan software Rapidminer digunakan untuk membantu menemukan nilai yang akurat. dalam mengerjakan penelitian ini penulis menggunakan 3 attribut dalam mengelompokkan data terdiri dari nama sekolah, daerah sekolah, jenis kelamin. Jenis pengambilan data yang digunakan menggunakan data sekunder. Metode analisis kebutuhan data yang digunakan penulis menggunakan tahap knowledge discovery-in data base (KDD). Cluster mahasiswa yang terbentuk adalah tiga cluster, dengan cluster pertama 897 items,cluster kedua 2054 items dan cluster ketiga berjumlah 389 items. Hasil dari penelitian ini digunakan sebagai salah satu dasar pengambilan keputusan dalam menentukan strategi mempromosikan Universitas Bina Darma di masing-masing daerah. Berdasarkan hasil cluster algoritma k-means dapat dilihat nama sekolah dan daerah sekolah mana saja yang mendaftar di Universitas Bina Darma Palembang
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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