1,720,964 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
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
Acceptability of speed limits and other policy measures in German cities
An increasing number of German cities currently demand the Federal Government to empower cities to implement 30 kph speed limits at their own discretion. Setting area-wide 30 kph as the maximum speed, as already installed in many other European cities, could therefore soon become a viable policy option in Germany.
This thesis conducts a stated choice (SC) experiment to determine the acceptability of such area-wide standard 30 kph speed limits compared to the acceptability of the expansion of shared space zones, costs for inner-city on-street car parking and public transport ticket fares. Combining the policies as attributes in an unlabeled experiment allows to juxtapose the policies in terms of their relative importance for the respondents’ choice decision. 129 adults from German cities with more than 100,000 inhabitants participated in an online survey during September 2022.
The results show that respondents evaluate the introduction of standard 30 kph speed limit in the city center as utility increasing compared to the prevalent status quo with standard 50 kph. Setting a standard 30 kph speed limit in the whole city also has a positive parameter in the base model, but does not significantly influence the respondents’ utility. The expansion of shared space seems to have no relevant effect on the choice decision of respondents. Higher ticket fares for public transport show to be utility decreasing for respondents of this study, whereas an increase in car parking costs is assessed positively.
Clear differences in the policy assessment of different subgroups of respondents can be observed. In line with literature, city-wide implementation of a standard 30 kph speed limit shows low acceptability among the group of frequent car users. In turn, voters of mayoral candidates for the Green Party (Bündnis 90/Die Grünen) or Left Party (Die Linke) expect a positive effect on their personal utility when a standard 30 kph speed limit is established in the whole city or in the city center only. Respondents’ gender does not seem to affect the assessment of 30 kph speed limit policy
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
Comparative Choice Analysis using Artificial Intelligence and Discrete Choice Models in A Transport Context
Artificial Intelligence in form of Machine Learning classifiers is increasingly applied for travel choice modeling issues and therefore constitutes a promising, competitive alternative towards conventional discrete choice models like the Logit approach. In comparison to traditional theory-based models, data-driven Machine Learning generally shows powerful predictive performance, but often lacks in model interpretability, i.e., the provision of comprehensible explanations of individual decision behavior. Consequently, the question about which approach is superior remains unanswered. Thus, this paper performs an in-depth comparison between benchmark Logit models and Artificial Neural Networks and Decision Trees representing two popular algorithms of Artificial Intelligence. The primary focus of the
analysis is on the models’ prediction performance and its ability to provide reasonable economic behavioral information such as the value of travel time and demand elasticities. For this purpose, I use crossvalidation and extract behavioral indicators numerically from Machine Learning models by means of post-hoc sensitivity analysis. All models are specified and estimated on synthetic and empirical data. As the results show, Neural Networks provide plausible aggregate value of time and elasticity measures, even though their values are in different regions as those of the Logit models. The simple Classification Tree algorithm, however, appears unsuitable for the applied computation procedure of these indicators, although it provides reasonable interpretable decision rules for travel choice behavior. Consistent with the literature, both Machine Learning methods achieve strong overall predictive performance and therefore outperform the Logit models in this regard. Finally, there is no clear indication of which approach is superior. Rather, there seems to be a methodological tradeoff between Artificial Intelligence and discrete choice models depending on the underlying modeling objective
Wettbewerb im Schienenverkehr: Die Frage nach der Trennung von Netz und Betrieb
Das Thema der Arbeit ist eine detaillierte Beschreibung der Theorie von 3 Grundformen der Organisation des Schienennetzes und -verkehrs. Anschließend sind praktische Beispiele aus verschiedenen Ländern der Welt beschrieben. Schließlich sind Praxis und Theorie verglichen und die bestmögliche Lösung erwogen.:1 Einleitung
2 Grundformen der Organisation des Schienennetzes und -verkehrs
2.1 Vertikale Integration
2.2 Vertikale Trennung
2.3 Unbundling (Deutsche: Holding-Modell)
3 Praxisbeispiele der Organisation
3.1 Vereinigtes Königreich
3.2 Japan
3.3 Tschechische Republik
3.4 Vereinigte Staaten
3.5 Schweden
3.6 Schweiz
4 Gegenüberstellung von Theorie und Praxis
5 Zusammenfassung und Ausblic
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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