1,720,954 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
Analysis of Moving Average Convergence Divergence (MACD) in different economies
The current dissertation is undertaken to analyze technical analysis, its indicators and their profitability and feasibility. This dissertation gives the basics idea of technical analysis and how it works and helps the investors in generating profits. It also shows how to use charts for technical analysis. In the analysis part it focuses on one of the most popular indicator called Moving Average Convergence Divergence (MACD) and applies it in different stock exchanges to examine whether it works in all or not. The objective of this dissertation is to provide investors with a clearer view of where to use Moving Average Convergence Divergence (MACD).
This dissertation analyses performance of Moving Average Convergence Divergence in five different stock markets. These stock markets include Bombay Stock Exchange, Athens Stock Exchange, New York Stock Exchange, Dubai Financial Market, Abu Dhabi Stock Exchange and Australian Stock Exchange.
The conclusion of this dissertation was that Moving Average Convergence Divergence was able to work at its best where the economy was not going through any kind of crisis. In other words efficient markets where as it was not able to generate much profit in economy like Greece which is suffering from European Debt Crisis. In Middle Eastern markets it was not able to perform well at all.
At the end of this paper investors can easily make out where they can use MACD and where they need to use fundamental analysis or other technical indicators
K-complexity and the Jordan-Wigner transformation
Krylov complexity is a measure of operator growth that demonstrates universal properties and bounds a large class of complexities. One such measure from this bounded class is operator size. The relationship between operator size and operator growth has been conjectured to be non-trivial due to the existence of duality transformations such as the Jordan-Wigner (JW) transformation which map small operators to large, non-local operators. We investigate this claim directly in the case of the JW transformation which maps the XY Heisenberg chain to the Kitaev chain. We numerically calculate the complexity of dual operators, and analyse the early and late time behaviour and symmetries. We find that for Open Boundary Conditions (OBC) the early time behaviour of the K-Complexity correlates with operator size, but that large operators can have very low K-Complexity if dual to a small operator. We find that for Periodic Boundary Conditions (PBC) larger operators produce larger early time growth, but do not correlate to larger late-time complexity regardless of the size of the dual operator. The difference between the OBC and PBC results arise from an often overlooked break in translational symmetry across the PBC Jordan-Wigner transformation. We also find that state complexity is not sensitive to the break in translational symmetry
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
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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