1,721,126 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    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

    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 link
    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

    Full text link
    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

    Author Index

    No full text
    Nao informado

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

    No full text
    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

    An Exploratory Study on Authorship Verification Models for Forensic Purpose

    No full text
    Authorship verification is one subfield of authorship analysis. However, the majority of the research in the field of authorship analysis is on the authorship identification problem. The authorship verification problem has received less attention than the authorship identification problem. Thus, there is a demand for a study on the authorship verification problem. The authorship verification problem of digital documents is becoming increasingly important as the criminals or terrorist organizations take advantage of the anonymity of the cyberspace to avoid being punished. Thus, it is critical for forensic linguistic experts to come up with effective methods to verify a short text written by a suspect. This master thesis project provides an exploratory study on the authorship verification models to solve the authorship verification problem. The research problem is as follows: Given a few texts (around 1000 words each) of one author, determine whether the text in dispute is written by the same author. The primary objective of this research is to design several innovative authorship verification models to solve the problem described above. A second goal of this research is to participate in the PAN Contest 2013 in the task of authorship verification. This thesis project explores extensively the possibilities of using compression features to solve the authorship verification. Both one-class classification models and two-class classification models are designed in this project. In a one-class classification model, there is only target class, and the decision is based on a predefined rule. In a two-class classification model, there are both target class and outlier class, and the threshold is decided by learning the boundary between the two classes. In total five models have been designed and evaluated, four of which use compression features. Character N-Gram Model is designed in this research to make a comparison of character-grams and compression features. The initial task of this project is the data collection. In order to participate in the PAN Contest, similar data (engineering textbooks from bookboon.com) were collected. In total 72 books written by 51 authors are in the collected corpus. The Book Collection Corpus was derived from the collected book and was used to develop the models. Additionally, an Enron Email Corpus was used to test the performance of one authorship verification model. As a result, the models designed received desirable performances and have shown potential to solve other similar problems.Management of TechnologyICTTechnology, Policy and Managemen
    corecore