1,720,961 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
On the research for big data uses for public good purposes
No full textCes dernières années, beaucoup de nos habitudes ont changé, suite à l’arrivée des big data, et de l’offre de services donnant des informations mises à jour en temps réel, basées sur les données produites par les utilisateurs. Cette révolution a également apporté de nouvelles opportunités pour les compagnies privées, mais aussi pour les gouvernements et chercheurs, les applications potentielles des analyses de ces données étant nombreuses. Dans cet article, nous présentons quelques avancées faites dans ce domaine, et montrons quelques opportunités d’applications pour le bien public, telles que l’aide aux actions humanitaires et la réponse aux situations extrêmes, rendues possibles par ces grandes masses de données, montrant également que dans certains cas, l’analyse de données peut être utilisée pour sauver des vies. Enfin, à côté des nouvelles opportunités, se sont aussi présentés de nouveaux challenges, dont l’évaluation de la robustesse et représentativité d’une base de données, ou bien les dangers pour la vie privée, qui seront l’objet d’une dernière section de cet article.In the last few years, many of our habits have changed due to the rise of big data and of all the services providing information updated in real time, based on data produced by the crowd of users. This big data revolution has also brought new opportunities for private companies, but also for governments and researchers, as the potential applications are numerous. In this article, we review some of the advances made in this field, and present opportunities offered by big data for public good, in fields such as help for humanitarian action or natural disasters response, indicating that in some cases, data may be used to save lives. Finally, aside from the opportunities, the mass production and use of data has also brought many challenges, such as evaluating the representativity of the data or handling threats to the privacy of users, that we will discuss in the last section of this article
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
Big data for modeling human behavior : applications using mobile phone data
No full textIn the last few years, the rise of big data has rapidly revolutionized how people communicate, move or organize events, and even how people think and make decisions. With the rise of the production of these big data, along with the increase of computing power and storage, companies, governments and universities altogether are facing a new challenge, that is, finding efficient methods to leverage those large databases and gain useful insights from the information that can be extracted. Mobile phone datasets provide a good lens through which social behavior can be observed, revealing communities, human mobility, and their evolution with time. In this thesis, we address several questions related to the use of big data, and in particular of mobile phone datasets, to extract useful insights to observe and understand human behavior. Firstly, we address methodological concerns regarding the sampling bias existing in those large datasets that may have effects on the results of the analyses. Secondly, we address the topic of spreading processes, as these datasets can also be used to model and predict the spreading of infectious diseases or information among a population. Finally, we take a more practical approach and show that mobile phone data can be used towards humanitarian purposes, by using them as a proxy for food security indicators in Africa.(FSA - Sciences de l'ingénieur) -- UCL, 201
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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