1,721,146 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Golden Ratio by the Fibonacci Sequence
The ratio of two successive Fibonacci numbers approaches the value of the golden ratio (1+sqrt(5))/2Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemátic
Zipf's law applied to word and letter frequencies
The frequency of words and letters in bodies of text has been heavily studied for several purposes, one being cryptography. This Demonstration performs an analysis of several texts, including fragments of popular works in several languages. It shows the distribution of frequencies, sorted from most common to least common.
Plotting word frequencies illustrates Zipf's law. This is a phenomenological law related to rank data frequencies, primarily of linguistic corpora. It says that the most frequent word will occur approximately twice as often as the second most frequent word, which will occur approximately twice as often as the fourth most frequent word. When the plot approximates a straight line it indicates that the data follows this law. It has also been shown that random bodies of text exhibit a word frequency distribution like Zipf's law, suggesting that the law is more a statistical phenomenon than specific to linguistics. The term has therefore come to be used to refer to any of a family of related power-law probability distributionsComponente Curricular::Ensino Médio::Matemátic
Towards a stable definition of algorithmic randomness
Although information content is invariant up to an additive constant, the range of possible additive constants applicable to programming languages is so large that in practice it plays a major role in the actual evaluation of K(s), the Kolmogorov complexity of a string s. We present a summary of the approach we've developed to overcome the problem by calculating its algorithmic probability and evaluating the algorithmic complexity via the coding theorem, thereby providing a stable framework for Kolmogorov complexity even for short strings. We also show that reasonable formalisms produce reasonable complexity classifications
An Adaptive Computational Intelligence Approach to Personalised Health Assessment and Immune Age Characterisation from Common Hematological Markers
<p>Version 3 after 2 revisions.</p>
Zipf's law applied to word and letter frequencies
The frequency of words and letters in bodies of text has been heavily studied for several purposes, one being cryptography. This Demonstration performs an analysis of several texts, including fragments of popular works in several languages. It shows the distribution of frequencies, sorted from most common to least common.
Plotting word frequencies illustrates Zipf's law. This is a phenomenological law related to rank data frequencies, primarily of linguistic corpora. It says that the most frequent word will occur approximately twice as often as the second most frequent word, which will occur approximately twice as often as the fourth most frequent word. When the plot approximates a straight line it indicates that the data follows this law. It has also been shown that random bodies of text exhibit a word frequency distribution like Zipf's law, suggesting that the law is more a statistical phenomenon than specific to linguistics. The term has therefore come to be used to refer to any of a family of related power-law probability distributionsComponente Curricular::Ensino Médio::Matemátic
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