1,720,955 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
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
BUDAYA KERJA AGILE DAN KINERJA PEMASARAN DIGITAL: PERAN MEDIASI KOMPETENSI DIGITAL DAN MODERASI KEPEMIMPINAN TRANSFORMASIONAL
No full textThis research explores the influence of agile work culture on digital marketing performance at Shopee Indonesia, with employee digital competence as a mediator and transformational leadership as a moderator. Using a quantitative approach with explanatory design, data were collected from 237 Shopee Indonesia employees through structured questionnaires and analyzed using Structural Equation Modeling (SEM). The results reveal that agile work culture positively and significantly influences digital marketing performance (β = 0.487, p < 0.05). Employee digital competence proves to function as a partial mediator in this relationship with a significant indirect effect (β = 0.209, p < 0.001). Transformational leadership positively and significantly moderates the relationship between agile work culture and digital marketing performance (β = 0.198, p < 0.05). The mediated moderation analysis reveals that the indirect effect of agile work culture on digital marketing performance through digital competence increases with higher levels of transformational leadership (from 0.153 at low levels to 0.287 at high levels). These findings provide strategic implications for e-commerce companies in optimizing digital marketing performance through the integration of agile culture, development of digital competence, and implementation of transformational leadership styl
Klasifikasi Stadium Kanker Payudara Menggunakan Metode Machine Learning dengan Synthetic Minority Oversampling (SMOTE): Studi Kasus Pasien Kanker Payudara Di Rs Onkologi Surabaya
Full text linkDi Indonesia, kanker merupakan penyebab kematian ketiga setelah jantung dan stroke. Jenis kanker dengan angka kejadian tertinggi pada penduduk wanita adalah kanker payudara. Kanker payudara merupakan tumor ganas yang menyerang jaringan payudara. Klasifikasi stadium kanker payudara penting dilakukan karena menentukan pengobatan yang diberikan pada pasien. Pada penelitian ini akan dilakukan perbandingan dua metode machine learning untuk klasifikasi stadium kanker payudara pasien RS Onkologi Surabaya. Jumlah pasien di setiap stadium mengalami ketimpangan, sehingga dilakukan oversampling dengan SMOTE. Data yang mulanya 294 menjadi 475 data. Data dipartisi menjadi 80% Training dan 20% Testing dengan stratifikasi. Pemilihan parameter terbaik dilakukan dengan menggunakan 10-fold Cross Validation pada data Training. Jumlah neuron sebanyak 8 dan k = 10 merupakan parameter terbaik pada masing-masing model NN dan k-NN. Selanjutnya pemodelan dilakukan dengan metode Neural Network dan k-Nearest Neighbour pada data Training dan Testing. Diperoleh metode Neural Network memiliki nilai AUC yang lebih tinggi dibandingkan k-Nearest Neighbour yaitu sebesar 85,1% sementara k-NN sebesar 83,9%.
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In Indonesia, cancer is the third leading cause of death after heart disease and stroke. The type of cancer with the highest incidence in the female population is breast cancer. Breast cancer is a malignant tumor that attacks the breast tissue. Classification of breast cancer stage is important because it determines the treatment given to the patient. In this study, a comparison of two machine learning methods will be carried out for the classification of breast cancer stages in Surabaya Oncology Hospital patients. The number of patients at each stage experienced inequality, so oversampling was carried out with SMOTE. The data that was originally 294 became 475 data. The data is partitioned into 80% Training and 20% Testing with stratification. The best parameter selection is done by using 10-fold Cross Validation on the Training data. The number of neurons is 8 and k = 10 is the best parameter in each NN and k-NN models. Furthermore, the modeling is carried out using the Neural Network and k-Nearest Neighbor methods on the Training and Testing data. The Neural Network method has a higher AUC value than k-Nearest Neighbor, which is 85.1%, while k-NN is 83.9%
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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