1,720,965 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
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
Browsing through products and people: online review, ratings, and swiping
In this thesis, I explored three topics, each addressing a different aspect online search for products and people. In chapter one, we investigated whether consumers’ response to online product reviews depends, not only on static dimensions but also on more dynamic features such as narrative style. We showed that depending on the review’s narrative style, consumers engage in an imaginary social interaction with the reviewer that significantly improves recommendation acceptance. The topic of interest in chapter two is product evaluation based on online product ratings. More specifically, we measured the relative effects of ratings expressed on larger versus smaller scales. The results suggest that when consumers aggregate ratings from different online product review websites, ratings expressed on larger scales have a stronger effect on product evaluation. In chapter three, we examined online dating and tested whether partner search via swift evaluation of profile photos, as is typical for apps such as Tinder, would promote a commodified view of other people. The findings provided evidence for a reduced perception of humanness in others, and lower fairness considerations after a date search task.En esta tesis, he explorado tres temas, cada uno abordando un aspecto diferente de la búsqueda en línea de productos y personas.. En el capítulo uno, investigamos si la respuesta de los consumidores a las opiniones de productos en línea depende, no solo de las dimensiones estáticas, sino también de las características más dinámicas como el estilo narrativo. Demostramos que, según el estilo narrativo de la opinión, los consumidores participan en una interacción social imaginaria con el escritor que mejora significativamente la aceptación de las recomendaciones. En el capítulo dos nos centramos en la evaluación de productos basada en calificaciones de productos en línea. Más específicamente, medimos los efectos relativos de las calificaciones expresadas en escalas más grandes versus más pequeñas. Los resultados sugieren que cuando los consumidores agregan calificaciones de diferentes sitios web , las calificaciones expresadas en escalas más grandes tienen un efecto más fuerte en la evaluación del producto. En el capítulo tres, examinamos las citas en línea y comprobamos si la búsqueda de pareja a través de una evaluación rápida de las fotos de perfil, como es típico en aplicaciones como Tinder, promueveuna visión comercial de los demás. Los hallazgos muestran un incremento en la deshumanización hacia los demás, así como menores consideraciones de equidad después de una tarea de búsqueda de citas.Programa de doctorat en Economia, Finances i Empres
Browsing through products and people: online review, ratings, and swiping
In this thesis, I explored three topics, each addressing a different aspect online search for products and people. In chapter one, we investigated whether consumers’ response to online product reviews depends, not only on static dimensions but also on more dynamic features such as narrative style. We showed that depending on the review’s narrative style, consumers engage in an imaginary social interaction with the reviewer that significantly improves recommendation acceptance. The topic of interest in chapter two is product evaluation based on online product ratings. More specifically, we measured the relative effects of ratings expressed on larger versus smaller scales. The results suggest that when consumers aggregate ratings from different online product review websites, ratings expressed on larger scales have a stronger effect on product evaluation. In chapter three, we examined online dating and tested whether partner search via swift evaluation of profile photos, as is typical for apps such as Tinder, would promote a commodified view of other people. The findings provided evidence for a reduced perception of humanness in others, and lower fairness considerations after a date search task.En esta tesis, he explorado tres temas, cada uno abordando un aspecto diferente de la búsqueda en línea de productos y personas.. En el capítulo uno, investigamos si la respuesta de los consumidores a las opiniones de productos en línea depende, no solo de las dimensiones estáticas, sino también de las características más dinámicas como el estilo narrativo. Demostramos que, según el estilo narrativo de la opinión, los consumidores participan en una interacción social imaginaria con el escritor que mejora significativamente la aceptación de las recomendaciones. En el capítulo dos nos centramos en la evaluación de productos basada en calificaciones de productos en línea. Más específicamente, medimos los efectos relativos de las calificaciones expresadas en escalas más grandes versus más pequeñas. Los resultados sugieren que cuando los consumidores agregan calificaciones de diferentes sitios web , las calificaciones expresadas en escalas más grandes tienen un efecto más fuerte en la evaluación del producto. En el capítulo tres, examinamos las citas en línea y comprobamos si la búsqueda de pareja a través de una evaluación rápida de las fotos de perfil, como es típico en aplicaciones como Tinder, promueveuna visión comercial de los demás. Los hallazgos muestran un incremento en la deshumanización hacia los demás, así como menores consideraciones de equidad después de una tarea de búsqueda de citas.Programa de doctorat en Economia, Finances i Empres
Fuzzy based approach for modelling uncertainty in classification for a computer aided detection
A computerized image analysis technology suffers from imperfection, imprecision and vagueness of the input data and its propagation to all individual components of the technology including image enhancement, segmentation and object classification. Furthermore, a computerized medical image analysis system (CMIAS) deals with another source of ambiguity that is inherent in the image-based practice of medicine and intuitive knowledge of experts .. Therefore, a CMIAS such as computer aided detection (CAD) technologies implicitly suffer from uncertainty and vagueness both from image analysis techniques and medical diagnosis. Although several technology-oriented studies have been reported for CAD, no attempt has been made to address, model and overcome these types of uncertainty in the design of the CAD. However, uncertainty issues directly affect the accuracy of the system. This study addresses the main sources of the uncertainty in a CAD system. While uncertainty outcomes are latent in the input of a classifier, the aim is to model them in the classification for a CAD application. For this, this research takes advantages of type-2 fuzzy logic (T2FL). Integrating a T2FL model for object classification in CAD architecture allows us to model uncertainty issues. For this, an automatic approach models uncertainty in training dataset using membership function of a type-2 fuzzy set. This approach was applied to the candidate nodule classification problem in a lung CAD application. The ROC (receiver operating characteristic) analysis of the classifier results (with an average accuracy 95% (area under the ROC curve) for nodule classification) reveals that the T2FL is more capable of capturing the uncertainty in the model and achieving better performance results compared to type-l fuzzy logic counterpart. Furthermore, the research introduces the idea of uncertain rule-based pattern classification in environments which exhibit a lack of expert knowledge and with an imperfect training dataset. An automatic approach for rule extraction is presented which takes advantages of genetic algorithm for learning rule set of an T2FL system from training samples. The proposed approach was applied to the popular Wisconsin breast cancer diagnosis (WBCD) database. Analysis of the performance results reveals that this approach is competitive with, the best results of other proposed fuzzy classification methods to date in terms of trade-off between accuracy and interpretability, with an average accuracy of 96.6 % for the breast cancer diagnosis problem.
This study introduces the concept of uncertainty in a CAD application. This is a first attempt toward modelling uncertainty issues in classification component for a CAD. The main contribution is automatically modelling uncertainties using membership functions and a rule set of a type-2 fuzzy logic. The performance evaluation on two different CAD classification problems (1) nodule classification in a lung CAD and (2) the WBCD diagnosis problem using Mammography CAD reveals the superiority of the T2FLS classifier for managing high levels of uncertainty compared to the T1FLS counterpart and providing classification that is more accurate. This approach is significant from two major aspects (l) clinical view: by producing more accurate results for diagnosis problems which can save more human lives, (2) technical view: modelling uncertainties in the design of a classifier using automatically presented approach for IT2FLS membership and rules generation. This is critical for multi-dimensional classification problems with large number of inputs and lack of expert knowledge as is the case for most of medical diagnosis problems
Browsing through products and people: online review, ratings, and swiping
In this thesis, I explored three topics, each addressing a different aspect online search for products and people. In chapter one, we investigated whether consumers’ response to online product reviews depends, not only on static dimensions but also on more dynamic features such as narrative style. We showed that depending on the review’s narrative style, consumers engage in an imaginary social interaction with the reviewer that significantly improves recommendation acceptance. The topic of interest in chapter two is product evaluation based on online product ratings. More specifically, we measured the relative effects of ratings expressed on larger versus smaller scales. The results suggest that when consumers aggregate ratings from different online product review websites, ratings expressed on larger scales have a stronger effect on product evaluation. In chapter three, we examined online dating and tested whether partner search via swift evaluation of profile photos, as is typical for apps such as Tinder, would promote a commodified view of other people. The findings provided evidence for a reduced perception of humanness in others, and lower fairness considerations after a date search task.En esta tesis, he explorado tres temas, cada uno abordando un aspecto diferente de la búsqueda en línea de productos y personas.. En el capítulo uno, investigamos si la respuesta de los consumidores a las opiniones de productos en línea depende, no solo de las dimensiones estáticas, sino también de las características más dinámicas como el estilo narrativo. Demostramos que, según el estilo narrativo de la opinión, los consumidores participan en una interacción social imaginaria con el escritor que mejora significativamente la aceptación de las recomendaciones. En el capítulo dos nos centramos en la evaluación de productos basada en calificaciones de productos en línea. Más específicamente, medimos los efectos relativos de las calificaciones expresadas en escalas más grandes versus más pequeñas. Los resultados sugieren que cuando los consumidores agregan calificaciones de diferentes sitios web , las calificaciones expresadas en escalas más grandes tienen un efecto más fuerte en la evaluación del producto. En el capítulo tres, examinamos las citas en línea y comprobamos si la búsqueda de pareja a través de una evaluación rápida de las fotos de perfil, como es típico en aplicaciones como Tinder, promueveuna visión comercial de los demás. Los hallazgos muestran un incremento en la deshumanización hacia los demás, así como menores consideraciones de equidad después de una tarea de búsqueda de citas.Programa de doctorat en Economia, Finances i Empres
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