1,721,312 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
Integration of CityGML and Collada for High-Quality Geographic Data Visualization on the PC and Xbox 360
International audienceComputer games and serious geographic information systems (GIS) share many requirements with regard to storage, exchange, and visualization of geographic data. Furthermore, there is a demand for high-fidelity photo-realistic and non-photo-realistic visualization. This poses at least two questions: Is there a single data format standard suitable for serious GIS-based applications and computer games that supports state-of-the-art visual quality? How can computer games and serious applications benefit from each other, especially platform-wise? In this paper we will investigate both questions by taking a closer look at the CityGML standard in comparison to COLLADA and we will report on our findings in integrating CityGML with mainstream game technology. The main contribution of this paper to the field is a suggested way of integrating an important features of CityGML and Collada for high-quality visualization, i.e. programmable shader effects, and demonstrating the feasibility of employing a game console as a cheap and widely available device for geodata visualization and possibly other geodata-centric applications
Classification of Player Roles in the Team-Based Multi-player Game Dota 2
Part 1: Full papersInternational audienceComputer games are big business, which is also reflected in the growing interest in competitive gaming, the so-called electronic sports. Multi-player online battle arena games are among the most successful games in this regard. In order to execute complex team-based strategies, players take on very specific roles within a team. This paper investigates the applicability of supervised machine learning to classifying player behavior in terms of specific and commonly accepted but not formally well-defined roles within a team of players of the game Dota 2. We provide an in-depth discussion and novel approaches for constructing complex attributes from low-level data extracted from replay files. Using attribute evaluation techniques, we are able to reduce a larger set of candidate attributes down to a manageable number. Based on this resulting set of attributes, we compare and discuss the performance of a variety of supervised classification algorithms. Our results with a data set of 708 labeled players see logistic regression as the overall most stable and best performing classifier
Tags You Don’t Forget: Gamified Tagging of Personal Images
Part 1: Full papersInternational audienceMobile multi-purpose devices such as smartphones are progressively replacing digital cameras; people use their smartphones as everyday companions and increasingly take pictures in their daily life. Tagging is a way to organize huge collections of photos but raises two challenges. First, tagging (especially on mobile devices) is a boring task. Second, remembering the assigned tags is important to find images with tags. We propose gamification for more entertaining tagging. Most gamification approaches use crowd-based assessments of good or bad tags, which is a good way to prevent cheating and to not assign improper tags. However, it is not appropriate for personal images because users don’t want to share every image with the crowd. We developed and evaluated two mobile apps with gamification elements to tag images, a single-player and a multiplayer app. While both variants were more entertaining than a simple tagging app, the single-player app helps users to remember significant more tags
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
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