1,720,966 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
An empirical study of semantic similarity in WordNet and Word2Vec
Get PDFThis thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends to uncover more of certain types of semantic relations than others -- with Word2Vec returning more hypernyms, synonomyns and hyponyms than hyponyms or holonyms. It also shows the probability that neighbors separated by a given cosine distance in Word2Vec are semantically related in WordNet. This result both adds to our understanding of the still-unknown Word2Vec and helps to benchmark new semantic tools built from word vectors
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
Beyond the Ledger: A Cross-Platform Analysis of Cryptocurrency Dynamics
Get PDFThe cryptocurrency market has experienced rapid growth and dynamic changes, marked by evolving technologies, fluctuating market dynamics, and significant regulatory events. This thesis, ‘Beyond the Ledger: A Cross-Platform Exploratory Analysis of Cryptocurrency Data Dynamics,’ explores the intricate relationships between cryptocurrencies and online platforms such as Reddit, Discord, and GitHub, which serve as critical channels for community engagement, technical development, and information dissemination; through a multi-coin, multi-platform analysis, this study examines the interconnectedness within the cryptocurrency ecosystem, utilizing Granger causality tests and correlation matrices to identify predictive relationships and patterns across the market. The research delves into significant market events such as the Ethereum Merge and the collapse of FTX, analyzing their impact on cryptocurrency prices, community activity, and technological trends and investigates the roles that different platforms play in fostering community sentiment andtechnological innovation, revealing that Reddit tends to drive market speculation, Discord offers real-time community interaction, and GitHub reflects longer-term development activities. Furthermore, the study highlights the importance of cross-platform dynamics during market shocks, demonstrating how information flows across various online spaces influence market behavior and development priorities. The findings suggest that while Bitcoin remains a market leader with a relatively independent behavior, other cryptocurrencies like Ethereum, Solana, Polygon, Cardano, and Dogecoin exhibit varied levels of interconnectedness and are influenced by different factors, including social media trends, technological advancements, and external economic conditions. This thesis concludes that understanding the complex socio-technical ecology of the cryptocurrency market requires a multifaceted approach that considers not only financial and technological elements but also the broader context of community interactions and market shocks; these results contribute to a better understanding of the cryptocurrency ecosystem’s dynamics and offer valuable insights for investors, developers, and researchers seeking to navigate the volatile and rapidly evolving world of cryptocurrencies. Further research is recommended to refine predictive models and expand the scope of analysis to improve generalizability and enhance the comprehensiveness of market studies.</p
Impacts of the Medicaid Expansion Under the Affordable Care Act on Health Insurance Coverage
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This paper looks at the impacts of the Medicaid expansion of 2014. In particular: What is the long-run effect of Medicaid Expansion during the ACA on uninsured rates in the United States? I will be utilizing a newer methodology, the difference-in-differences staggered adoption model which allows for multiple time periods. This model proves to be more refined and less biased in comparison to the normal diff-in-diff used in this field. I find that, the Medicaid expansion of 2014 caused an average change in uninsured rates of 2.33 percentage points for states that expanded in comparison to what they would have experienced had they not. This drops to 1.87 percentage points if we allow for one year of anticipation (changes in behaviors of citizens prior to implementation) in our data.
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