1,720,964 research outputs found
Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)
No full textIn recent years, researchers have taken notice that virtual environments such as EverQuest II serve as a major mechanism for socialization. In particular, educational research has found virtual environments to be a sound venue for studying learning, collaboration, social participation, literacy in online space, and learning trajectory at the individual level as well as at the group level. The present research is concerned with learning in virtual environments and examines online player performance in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the game's player performance data to devise performance metrics for online players. The study reports three major findings. First, we show that the game's point scaling system over-estimates performances of lower level players and under-estimates performances of higher level players. We present a novel point scaling system based on the game's player performance data that addresses the under-estimation and over-estimation problems. Second, we present a highly accurate predictive model for player performance as a function of past behavior. Third, we show that playing in groups has impact on player performance and that individual characteristics alone are not sufficient for explaining individual's performance, which calls for a different set of performance metrics methods. The discrepancy between the point scaling system in the game and observed player performance can be used as a guide to modify the existing system to better reflect the expected learning behaviors in different levels.Shim, Kyong Jin; Pathak, Nishith; Srivastava, Jaideep. (2009). Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215801
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
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 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
Artificial intelligence for .NET: building smart applications with Microsoft cognitive services APIs
No full textArtificial intelligence for .NET, speech, language, and search: building smart applications with Microsoft Cognitive Services APIs
No full textIoT, AI, and Blockchain for .NET: Building a Next-Generation Application from the Ground Up
No full textDispelling 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
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