1,720,960 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
IMPLEMENTASI PHT: PENGGUNAAN AGENS BIOLOGIS BURUNG HANTU PUTIH UNTUK PENGENDALIAN HAMA TIKUS DI DESA PULOMULYA KECAMATAN LEMAHABANG KABUPATEN KARAWANG
Full text linkThe rat pest Rattus argentiventer is a severe problem in Karawang, it harms by damaging rice plants. Farmers do not have enough knowledge about how to deal with the pest. The partners in this activity are the Pulomulya Village Farmer Group, Lemahabang, with approximately 30 members. This community service provides knowledge about natural enemy conservation through planting refugia plants that can attract natural enemies and become a shelter for predators and parasitoids. As a result, farmers are able to conserve natural enemies by planting refugia around rice fields, and farmers are able to make artificial barn owl nests (rubuha) to control rat pests as an effort to implement Biointensive IPM. Farmer groups and communities have learned how to make rubuha and the required tools and materials. After the installation of the rubuha, Tyto alba barn owls came naturally and nested inside. This service allows farmers to use the biological agent Tyto alba and reduce the impact of using synthetic pesticides. With the successful use of these rubuha, the local government provided funding for a program to install 15 rubuha in 2023. The more rubuha installed, the better the natural rat control in Pulomulya Village. This innovation is an environmentally friendly solution to the rat problem in the area
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
Prediksi Harga Minyak Kelapa Sawit Menggunakan Linear Regression Dan Random Forest
No full textCommodity export is an important activity because it can open up new market opportunities abroad. Besides being able to increase investment and foreign exchange for a country, palm oil is a plantation product that plays an important role in the Indonesian economy, palm oil is the largest foreign exchange earner. In palm oil exports, the volume tends to increase from 2016 to 2019 but when viewed from the export value of palm oil, it tends to fluctuate. Therefore it is necessary to predict the price of palm oil to help make commodity export decisions and also help palm oil investors in maximizing profits, in this study to predict the price of palm oil used data mining methods with the implementation of the Linear Regression and Random Forest algorithms using rapidminer, with data sharing scenarios training and testing is divided into three, namely 90:10, 80:20 and 70:30 to determine the performance of the algorithm. The data that will be used for research is historical data on palm oil prices taken from investing.com. From the results of the implementation of the algorithm obtained in the 90:10 data sharing scenario, the best algorithm is Random Forest with RMSE 25,106 results, in the second scenario with 80:20 data sharing the best algorithm is Linear Regression with RMSE 31,174, in the third scenario 70:30 Linear data sharing. regression has the best result with RMSE 30,227. then from the three scenarios, the Linear Regression algorithm gets the best performanc
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
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