1,720,954 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
OPTIMASI PORTOFOLIO DAN ANALISIS RISIKO SAHAM IDX30 MENGGUNAKAN K-MEANS, MARKOWITZ DAN VAR
Full text linkInvestment involves growing personal wealth through asset value appreciation. From 2020 to 2024, Indonesians’ interest in investing rose by 228.52%. However, the 2022 National Survey on Financial Literacy and Inclusion (SNLIK) showed a decline in the capital market literacy index, dropping from 4.92% in 2019 to 4.11% in 2022. This highlights a gap between investment interest and financial knowledge. To address this issue, research was conducted to optimize portfolio formation using the K-Means and Markowitz methods, with risk measured through Value at Risk (VaR) Backtesting. The Markowitz method minimizes risk for a given return level, helping investors meet financial goals efficiently. The analysis used stocks from the IDX30 index, known for liquidity, strong fundamentals, and large market caps. The study produced an optimal portfolio with a 16% expected return and a 32.827% annual risk. The stock allocation is: AKRA (8.444%), AMRT (6.135%), BBCA (39.900%), BMRI (17.385%), BBNI (11.410%), ICBP (14.448%), and MEDC (2.278%). The portfolio's maximum loss was -1.628%, lower than any individual stock, demonstrating the model's accuracy and reliability in managing risk while maintaining return potential.Investment involves growing personal wealth through asset value appreciation. From 2020 to 2024, Indonesians’ interest in investing rose by 228.52%. However, the 2022 National Survey on Financial Literacy and Inclusion (SNLIK) showed a decline in the capital market literacy index, dropping from 4.92% in 2019 to 4.11% in 2022. This highlights a gap between investment interest and financial knowledge. To address this issue, research was conducted to optimize portfolio formation using the K-Means and Markowitz methods, with risk measured through Value at Risk (VaR) Backtesting. The Markowitz method minimizes risk for a given return level, helping investors meet financial goals efficiently. The analysis used stocks from the IDX30 index, known for liquidity, strong fundamentals, and large market caps. The study produced an optimal portfolio with a 16% expected return and a 32.827% annual risk. The stock allocation is: AKRA (8.444%), AMRT (6.135%), BBCA (39.900%), BMRI (17.385%), BBNI (11.410%), ICBP (14.448%), and MEDC (2.278%). The portfolio's maximum loss was -1.628%, lower than any individual stock, demonstrating the model's accuracy and reliability in managing risk while maintaining return potential
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
Optimasi Portofolio Saham IDX30 Dengan Metode K-Means Dan Markowitz Serta Evaluasi Risiko Menggunakan Value At Risk Backtesting
No full textInvestasi merupakan suatu komitmen untuk mengembangkan kekayaan pribadi melalui pertumbuhan nilai aset dari waktu ke waktu. Sejak tahun 2020 hingga 2024 pertumbuhan minat masyarakat Indonesia untuk berinvestasi melonjak hingga mencapai 228,52%. Peningkatan minat investasi tersebut ternyata berbanding terbalik dengan hasil Survei Nasional Literasi dan Inklusi Keuangan (SNLIK) tahun 2022, yang menunjukkan adanya penurunan pada persentase indeks literasi keuangan berdasarkan sektor jasa keuangan pasar modal. Penurunan indeks literasi keuangan tersebut terjadi sebesar 0,81% , dimana pada tahun 2019 yaitu sebesar 4,92% menjadi 4,11% pada tahun 2022. Data tersebut menunjukkan bahwa, masih banyak masyarakat Indonesia yang memerlukan informasi mengenai investasi dan keuangan agar dapat membuat keputusan investasi yang bijak. Berdasarkan permasalahan tersebut, maka dilakukan penelitian optimalisasi pembentukan portofolio menggunakan metode K-Means dan Markowitz dengan pengukuran Value At Risk Backtesting. Metode Markowitz akan menekankan pada usaha untuk meminimumkan risiko pada tingkat ekspektasi return tertentu, sehingga investor dapat mencapai tujuan investasi dengan efektif. Selanjutnya, saham yang akan digunakan merupakan saham-saham pada IDX30, karena merupakan indeks saham dengan perusahaan berlikuiditas tinggi, kapitalisasi pasar besar dan memiliki fundamental yang baik. Penelitian ini bertujuan untuk menghasilkan portofolio optimal dengan perhitungan risiko yang lebih akurat, dan gambaran pengembalian yang lebih menyeluruh. Berdasarkan hasil analisis, didapatkan portofolio optimal model Markowitz dengan nilai expected return sebesar 16% dengan tingkat risiko sebesar 32,827% per tahun, dimana proporsi masing-masing saham yaitu sebesar 8,444% saham AKRA, 6,135% saham AMRT, 39,900% saham BBCA, 17,385% saham BMRI, 11,410% saham BBNI, 14,448% saham ICBP, dan 2,278% saham MEDC. Kerugian maksimum portofolio optimal sebesar -1,628% lebih rendah dibandingkan saham tunggal serta terbukti valid atau akurat.
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Investment is a commitment to growing personal wealth through the appreciation of asset value over time. From 2020 to 2024, the interest of Indonesians in investing surged by 228.52%. However, this increase in investment interest contrasts with the results of the 2022 National Survey on Financial Literacy and Inclusion (SNLIK), which revealed a decline in the financial literacy index percentage in the capital market financial services sector. The literacy index dropped by 0.81%, from 4.92% in 2019 to 4.11% in 2022. This data indicates that many Indonesians still require more information on investment and finance to make wise investment decisions. In response to this issue, research was conducted to optimize portfolio formation using the K-Means and Markowitz methods with Value at Risk Backtesting measurements. The Markowitz method focuses on minimizing risk at a specific expected return level, enabling investors to effectively achieve their investment goals. The stocks analyzed are from the IDX30 index, comprising highly liquid companies with large market capitalizations and strong fundamentals. This study aims to generate an optimal portfolio with a more accurate risk calculation and a comprehensive return outlook. Based on the analysis, the optimal Markowitz model portfolio achieved an expected return of 16% with an annual risk level of 32.827%. The proportion of each stock in the portfolio is as follows: 8.444% in AKRA, 6.135% in AMRT, 39.900% in BBCA, 17.385% in BMRI, 11.410% in BBNI, 14.448% in ICBP, and 2.278% in MEDC. The maximum loss for the optimal portfolio was -1.628%, lower than any individual stock and proven valid and accurate
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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