1,721,032 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

    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

    A Hybrid Model of Graph Attention Networks and Random Forests for Link Prediction in Co-Authorship Networks

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    Co-authorship prediction is important in academic network analysis due to it helps to understand patterns of scientific collaboration and supports collaboration recommendation systems. Topology-based approaches, such as connectivity metrics and node distance, have been widely used to model new relationships in networks. However, these approaches often overlook relevant author attributes, such as reputation and productivity. This study develops a co-authorship prediction model by combining a Graph Attention Network (GAT) and a Random Forest. GAT is used to extract topological features from the co-authorship graph, while Random Forest leverages additional attributes such as h-index and the number of publications to improve prediction accuracy. Experiments were conducted on a co-authorship dataset comprising over 10,000 authors and 50,000 publications. The results show that GAT achieved 85% accuracy, while Random Forest reached 80%. The combination of the two yielded 90% accuracy and a higher F1-score, indicating a better balance between precision and recall. The combined model also proved more accurate in predicting collaborations involving highly productive authors. These findings suggest that a hybrid approach can more comprehensively capture the dynamics of academic collaboration and may serve as a foundation for developing more effective collaboration prediction systems in the future

    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

    OPTIMALISASI RADIUS SERVER SEBAGAI SISTEM OTENTIKASI DAN OTORISASI UNTUK PROSES LOGIN MULTI APLIKASI WEB BERBASIS PHP

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    Protokol RADIUS merupakan suatu aturan yang mendukung berbagai mekanisme metode untuk mengirimkan data pengguna yang sensitif dari dan ke server otentikasi. Dalam konteks penganggulangan bencana memungkinkan mengembangkan banyak aplikasi sistem informasi dan teknologi informasi. Oleh karena pengembangan itu tidak di rancang untuk saling terintegrasi, maka memungkinkan terjadi duplikasi informasi pengguna sehingga dengan optimalisasi radius server untuk proses login multi aplikasi web berbasis PHP menjadi suatu solusi alternalif mempermudah pengelolaan pengguna pada banyak aplikasi yang terpisah. Penelitian ini bertujuan mengimplementasikan sistem otentikasi dan otorisasi untuk proses login multi aplikasi web berbasis PHP dengan mengoptimalkan penggunaan dari radius server. Metodologi yang digunakan adalah studi pustaka, perancangan sistem yang meliputi perancangan arsitektural dan desain topologi jaringan, serta implementasi sistem. Sistem yang di buat meliputi 4 bagian, yaitu bagian yang pertama adalah konfigurasi radius server menggunakan aplikasi FreeRADIUS. Bagian yang kedua adalah konfigurasi web server sehingga dapat berkomunikasi dengan radius server. Bagian yang ketiga adalah pengembangan dan implementasi aplikasi pengelolaan pengguna berbasis web dengan bahasa pemrograman PHP dan basis data MySQL. Bagian yang keempat adalah pengujian sistem otorisasi dan otentikasi pengguna pada beberapa aplikasi yang berbeda. Hasil dari penelitian ini adalah pengguna pada beberapa aplikasi web berbasis PHP dapat diintegrasikan pengelolaannya dengan membangun sistem otentikasi dan otorisasi dengan radius server menggunakan aplikasi FreeRADIUS. Proses optimalisasi radius server sebagai sistem otentikasi dan otorisasi ini dapat membuat pengguna hanya akan memiliki satu akun tunggal untuk beberapa aplikasi yang berbeda

    OPTIMALISASI RADIUS SERVER SEBAGAI SISTEM OTENTIKASI DAN OTORISASI UNTUK PROSES LOGIN MULTI APLIKASI WEB BERBASIS PHP

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    Protokol RADIUS merupakan suatu aturan yang mendukung berbagai mekanisme metode untuk mengirimkan data pengguna yang sensitif dari dan ke server otentikasi. Dalam konteks penganggulangan bencana memungkinkan mengembangkan banyak aplikasi sistem informasi dan teknologi informasi. Oleh karena pengembangan itu tidak di rancang untuk saling terintegrasi, maka memungkinkan terjadi duplikasi informasi pengguna sehingga dengan optimalisasi radius server untuk proses login multi aplikasi web berbasis PHP menjadi suatu solusi alternalif mempermudah pengelolaan pengguna pada banyak aplikasi yang terpisah. Penelitian ini bertujuan mengimplementasikan sistem otentikasi dan otorisasi untuk proses login multi aplikasi web berbasis PHP dengan mengoptimalkan penggunaan dari radius server. Metodologi yang digunakan adalah studi pustaka, perancangan sistem yang meliputi perancangan arsitektural dan desain topologi jaringan, serta implementasi sistem. Sistem yang di buat meliputi 4 bagian, yaitu bagian yang pertama adalah konfigurasi radius server menggunakan aplikasi FreeRADIUS. Bagian yang kedua adalah konfigurasi web server sehingga dapat berkomunikasi dengan radius server. Bagian yang ketiga adalah pengembangan dan implementasi aplikasi pengelolaan pengguna berbasis web dengan bahasa pemrograman PHP dan basis data MySQL. Bagian yang keempat adalah pengujian sistem otorisasi dan otentikasi pengguna pada beberapa aplikasi yang berbeda. Hasil dari penelitian ini adalah pengguna pada beberapa aplikasi web berbasis PHP dapat diintegrasikan pengelolaannya dengan membangun sistem otentikasi dan otorisasi dengan radius server menggunakan aplikasi FreeRADIUS. Proses optimalisasi radius server sebagai sistem otentikasi dan otorisasi ini dapat membuat pengguna hanya akan memiliki satu akun tunggal untuk beberapa aplikasi yang berbeda
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