1,721,010 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
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
Sistem pendukung keputusan penentuan kelompok uang kuliah tunggal menggunakan metode k-means clustering
Full text linkINDONESIA:
Pendidikan merupakan hal yang sangat penting bagi kemajuan suatu bangsa, karena kemajuan dan perkembangan bangsa dapat diukur dari kualitas tingkat pendidikan serta tingkat sumberdaya manusianya (SDM). Pada tahun 2013 pemerintah mulai mengupayakan pemerataan pendidikan di tingkat perguruan tinggi negeri dengan menerapkan system pembayaran baru yang disebut dengan uang kuliah tunggal. Uang kuliah tunggal merupakan penerapan dari sistem subsidi silang yang mana mahasiswa dengan tingkat ekonomi yang tinggi akan mensubsidi mahasiswa dengan tingkat ekonomi yang rendah, hal ini bertujuan agar mahasiswa miskin dapat melanjutkan studi di perguruan tinggi negeri tanpa adanya kendala karena faktor ekonomi.
Untuk mengelompokan mahasiswa berdasarkan tingkat ekonominya dibutuhkanlah aplikasi sebagai pendukung keputusan untuk mengelompokan UKT. Berdasarkan hal tersebut maka penulis mencoba membuat sistem pendukung keputusan untuk menentukan kelompok uang kuliah tunggal dengan menggunakan metode K-means Clustering dengan 9 parameter sebagai inputan yang diambil dari data mahasiswa.
Berdasarkan hasil uji coba, dari 944 data inputan didapatkan hasil pengelompokan dengan perbandingan antara data hasil pengelompokan sistem dengan data yang sebenarnya yaitu 611 data yang sama atau 64.72% dari data UKT yang sebenarnya. Dapat diambil kesimpulan bahwa dari 100 kali iterasi dan dari sekian data yang diuji cobakan, hasil pengelompokannya masih belum akurat 100%.
ENGLISH:
Education is a very important for the nation’s progress , because of the progress and development of a nation can be measured by the quality level of education and the level of human resources (HR). By 2013 the government began to effort fair distribution of education at the State University by implementing a new payment system called single tuition (UKT). UKT is an implementation of cross-subsidy system where students with high economic level will subsidize students with low economic level. it is intended that poor students can continue their studies at state universities without any constraints due to economic factors.
For classification students based on his economic level it is necessary as a decision support application for Classificaton of UKT. Under these conditions, the author tries to make a decision support system for classification of UKT using K-means Clustering with 9 parameters as an input that is taken from the student data.
Based on the experimental results, from 944 data input obtained the results of Calssification by comparison Among the results of classification data systems with real data i.e. 611 similarity data or 64.72% from all of real data. It can be concluded from 100 iterations of 944 data tested, the results of the classification is still not 100% accurate
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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