1,721,018 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
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
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
Cryptocurrency Fraud Enforcement: Innovations in Detection, Investigation, and Prosecution
Full text linkSince the proposal of Bitcoin in 2008, cryptocurrencies have increasingly entered mainstream consciousness, and innovations involving them continue to rapidly advance. Proponents have noted cryptocurrencies’ potential benefits for financial inclusion, security, and transparency, among other advantages. As well as their many advantages, however, they have also facilitated various types of fraud at a large scale. In particular, the field of decentralised finance (DeFi)—an ecosystem of financial products based on cryptocurrency—has proven to be a hub of such crime and presents unique and difficult challenges to regulators and enforcement agencies. Governments around the world are struggling to deal with the issue of cryptocurrency crime and prosecutions thereof are lagging compared to the pace and scale at which these crimes are occurring. In addition to certain technical enforcement challenges cryptocurrencies pose, resource limitations are a key reason more cryptocurrency crimes have not undergone enforcement action. Automation, the use of novel tools, and focusing resources on more impactful elements of enforcement actions are key solutions to this problem. This thesis explores ways to improve resource use efficiency in cryptocurrency fraud prosecution, specifically, a) which aspects of the detection, investigation, and prosecution stages of enforcement can be automated, or otherwise make use of novel tools, to improve resource efficiency, and b) on which aspects of a case enforcement lawyers should focus to maximise the chances of success in enforcement and more efficiently allocate resources therefor. This thesis shows the promise of automating elements of enforcement using machine learning, blockchain explorers and visualisation tools, smart contract analysis, and large language models. It also presents considerations for prosecutors in making decisions about which cases and defendants to charge. Though further research on these tools and insights at a larger scale is necessary, the results in this thesis suggest they could facilitate the prosecution of cryptocurrency crimes and allow more crimes to be brought to justice
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
Predicting author profiles from online abuse directed at public figures
No full textThe problem of online threats and abuse directed at public figures could potentially be mitigated with a computational approach, where sources of abusive language are better understood or identified through author profiling. However, abusive language constitutes a specific domain of language that is untested on whether differences emerge based on personality, age, or gender of text authors. The present study presents a unique data set of 789 abusive messages directed at politicians. It examines statistical relationships between author demographics of text authors and (abusive) language, then uses a machine learning approach to predict personality, age, and gender based on language in the texts. Results showed that (a) personality traits could be determined within 10% of their actual value, (b) age was determined with an error margin of 10 years, and (c) gender was classified correctly in 70% of the cases. Even though we found statistically significant relationships between language use and demographics, prediction performance was poor when compared to previous research on author profiling. Therefore, we suggest that further research is needed before author profiling systems can be of significant value within the context of abusive language and threat assessment
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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