1,720,987 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
Assessing Regulatory Impact and Platform Engagement in the Streaming Economy: A twostage Network DEA Analysis of Selected European Countries
No full textThis study evaluated the regulatory efficiency and performance of Over-the-Top (OTT) streaming platforms across ten European countries—France, Germany, Ireland, Netherlands, UK, Norway, Serbia, Greece, Italy, and Turkey—using a two-stage Network Data Envelopment Analysis (NDEA) framework. It also compared Europe to a global dataset that included countries from North America, South America, the Middle East & North Africa, and Asia-Pacific. The results from Stage revealed that European countries with modernized legislation, such as the UK, Germany, and France, demonstrated superior regulatory efficiency compared to those with outdated frameworks, such as Serbia. This highlighted the importance of up-to-date regulations, including net neutrality and data protection policies like GDPR, in fostering a strong regulatory environment. In Stage and the overall efficiency rankings (θoverall), the UK emerged as the top performer in Europe with a score of 0.5454, driven by its coherent regulatory framework, effective taxation policies, and robust market competition. Germany (0.5171) and Italy (0.4449) followed, benefiting from structured regulations and diverse OTT offerings. However, countries like Serbia (0.0484), Greece (0.1527), Ireland (0.1243) and the Netherlands (0.1710) lagged, reflecting inconsistencies in translating regulatory strengths into market success. Globally, Europe achieved a mean regulatory efficiency score of 0.7823, surpassing other regions in Stage 1 except North America, but its overall efficiency (θoverall = 0.3059) trailed North America (0.5631) and Asia-Pacific (0.3746). Europe's fragmented regulatory frameworks across countries and inconsistent implementation of taxation of international OTT platforms and OTT-specific policies hindered its ability to achieve unified market performance, despite its regulatory strengths. The findings underscored the need for European countries to adopt cohesive taxation frameworks for international streaming platforms, modernized OTT-specific regulations, and a more integrated regulatory approach to enhance the overall market efficiency
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
Investments in next generation access infrastructures under regulatory uncertainty
Get PDFThis article studies the impact of regulatory uncertainty on an incumbent’s incentives to undertake the socially optimal investments in NGA networks. Thus, aregulatory non - commitment setting in which the regulator sets the access price after the deployment of the NGA network is used. In particular, it is assumed that the regulator sets the access price at the marginal cost of providing the access with some probability and gives an access markup, which equals the average cost of the investments, with the complementary probability. It is found that when the slope of the marginal investment cost function is not particularly steep in relation to the impact of investments on demand, the incumbent underinvests compared to the socially optimal investment level. On the contrary, in a more realistic case when the impact of investments on demand is low in relation to the slope of the marginal investment costfunction, the incumbent may overinvest or underinvest depending on the probability of incorporating an access markup into the access price
Fitting Planar Proximity Graphs on Real Street Networks
No full textDue to the rising progress of sustainable urban infrastructures, modeling realistic street networks is a fundamental challenge. This study contributes to this modeling direction, by suggesting the utilization of planar proximity graphs, and specifically the beta-skeleton graphs. Their goodness of fit on producing real-like urban street networks is verified by comparison to real data. In particular, the basic topological and geometrical properties derived from synthetic beta-skeleton planar graphs are compared to the properties of five urban street network datasets, all represented using the Primal approach. A good agreement with empirical patterns is found and a possible explanation is discussed
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