1,721,130 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
PENGARUH PENGALAMAN MEREK TERHADAP KECINTAAN PADA MEREK KRISPY KREME DENGAN KEASLIAN MEREK SEBAGAI VARIABEL MEDIASI
No full text(A) CHRISTOPHER STEVEN WIDODO (115210289)
(B) THE INFLUENCE OF BRAND EXPERIENCE ON BRAND LOVE OF
KRISPY KREME WITH BRAND AUTHENTICITY AS A MEDIATION
VARIABLE
(C) xv + 86 pages, 2024, 24 tables, 6 pictures, 8 attachments
(D) MARKETING MANAGEMENT
(E) Abstract: The purpose of this research is to determine the influence of
brand experience and brand authenticity on brand love, the influence of
brand experience on brand authenticity, and the influence of brand
experience on brand love in Krispy Kreme consumers with brand
authenticity as a mediating variable. The population of this research is all
Krispy Kreme consumers in Jakarta and the sample selection used
purposive sampling and the sample size was 100 respondents domiciled
in Jakarta. This research uses primary data obtained by distributing
questionnaires online using Google forms. The data analysis technique
uses PLS-SEM with the help of the SmartPLS program. The research
results directly show that brand experience and brand authenticity
influence brand love. Brand experience influences brand authenticity.
Brand experience influences brand love among Krispy Kreme consumers
with brand authenticity as a mediating variable.
Keywords: Brand Experience, Brand Authenticity, Brand Love
(F) Reference list: 65 (2013-2024)
(G) Richard Andrew, S.E., M.M.
(A) CHRISTOPHER STEVEN WIDODO (115210289)
(B) THE INFLUENCE OF BRAND EXPERIENCE ON BRAND LOVE OF
KRISPY KREME WITH BRAND AUTHENTICITY AS A MEDIATION
VARIABLE
(C) xv + 86 pages, 2024, 24 tables, 6 pictures, 8 attachments
(D) MARKETING MANAGEMENT
(E) Abstract: The purpose of this research is to determine the influence of
brand experience and brand authenticity on brand love, the influence of
brand experience on brand authenticity, and the influence of brand
experience on brand love in Krispy Kreme consumers with brand
authenticity as a mediating variable. The population of this research is all
Krispy Kreme consumers in Jakarta and the sample selection used
purposive sampling and the sample size was 100 respondents domiciled
in Jakarta. This research uses primary data obtained by distributing
questionnaires online using Google forms. The data analysis technique
uses PLS-SEM with the help of the SmartPLS program. The research
results directly show that brand experience and brand authenticity
influence brand love. Brand experience influences brand authenticity.
Brand experience influences brand love among Krispy Kreme consumers
with brand authenticity as a mediating variable.
Keywords: Brand Experience, Brand Authenticity, Brand Love
(F) Reference list: 65 (2013-2024)
(G) Richard Andrew, S.E., M.M
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
Hybrid 2D and 3D face verification
No full textFace verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional\ud
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(3D) data, is not changed by pose or illumination variations.\ud
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Over the past five years methods have been investigated to combine 2D and\ud
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3D face data to improve the accuracy and robustness of face verification. Much of this research has examined the fusion of a 2D verification system and a 3D verification system, known as multi-modal classifier score fusion. These verification systems usually compare two feature vectors (two image representations), a and b, using distance or angular-based similarity measures. However, this does not provide the most complete description of the features being compared as the distances describe at best the covariance of the data, or the second order statistics (for instance Mahalanobis based measures).\ud
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A more complete description would be obtained by describing the distribution of the feature vectors. However, feature distribution modelling is rarely applied to face verification because a large number of observations is required to train the models. This amount of data is usually unavailable and so this research examines two methods for overcoming this data limitation:\ud
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1. the use of holistic difference vectors of the face, and\ud
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2. by dividing the 3D face into Free-Parts.\ud
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The permutations of the holistic difference vectors is formed so that more observations are obtained from a set of holistic features. On the other hand, by dividing the face into parts and considering each part separately many observations are obtained from each face image; this approach is referred to as the Free-Parts approach. The extra observations from both these techniques are used to perform holistic feature distribution modelling and Free-Parts feature distribution modelling respectively. It is shown that the feature distribution modelling of these features leads to an improved 3D face verification system and an effective 2D face verification system. Using these two feature distribution techniques classifier score fusion is then examined.\ud
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This thesis also examines methods for performing classifier fusion score fusion.\ud
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Classifier score fusion attempts to combine complementary information from multiple classifiers. This complementary information can be obtained in two ways: by using different algorithms (multi-algorithm fusion) to represent the same face data for instance the 2D face data or by capturing the face data with different sensors (multimodal fusion) for instance capturing 2D and 3D face data. Multi-algorithm fusion is approached as combining verification systems that use holistic features and local features (Free-Parts) and multi-modal fusion examines the combination of 2D and 3D face data using all of the investigated techniques.\ud
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The results of the fusion experiments show that multi-modal fusion leads to a consistent improvement in performance. This is attributed to the fact that the data being fused is collected by two different sensors, a camera and a laser scanner. In deriving the multi-algorithm and multi-modal algorithms a consistent framework for fusion was developed.\ud
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The consistent fusion framework, developed from the multi-algorithm and multimodal experiments, is used to combine multiple algorithms across multiple modalities. This fusion method, referred to as hybrid fusion, is shown to provide improved performance over either fusion system on its own. The experiments show that the final hybrid face verification system reduces the False Rejection Rate from 8:59% for the best 2D verification system and 4:48% for the best 3D verification system to 0:59% for the hybrid verification system; at a False Acceptance Rate of 0:1%
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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