1,720,996 research outputs found
Facebook user reactions and emotion: an analysis of their relationships among the online diabetes community
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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
Collaborative learning via CiA - collaborators in action
Get PDFThe present study investigated the effect(s) of using a collaborative tool, aptly named Collaborators in Action (CiA) in improving students' collaborative learning. CiA was developed based on the Social Media Acceptance Model (SMAM), which consists of four main predictors, namely Communication Functionality (i.e. functions supporting communication process), Effort (i.e. ease of use), Performance (i.e. usefulness of CiA) and Self (i.e. skill set and enjoyment). CiA has several core components, such as Collaborative Activities that enable the lecturer to administer various collaborative tasks to the students, Tracking and Monitoring that allows the students' collaboration level to be monitored and Sentiment Analysis, which provides the general polarity of the students' sentiment for a particular topic or activity. The tool was built and customized for the Probability and Statistics, that is, a core course that require a certain number of collaborative tasks to be carried out. Both pre-test and post-test surveys were administered among 33 undergraduate students, with the students using CiA as part of their learning for the second half of the semester (i.e. approximately six weeks). The pre-test questionnaire was given to the students at the beginning of the experiment and they were asked to provide their opinions based on the current practice of learning. At the end of the sixth week, the posttest questionnaire was administered. Paired-sample t-test revealed the students to be more receptive in using CiA in collaborative learning. A further in-depth analysis of the survey instruments and CiA is yet to be carried out, and therefore more results will be provided at a later stage
Learning via a social media enabled tool: Do learning styles make a difference?
Get PDFThis paper investigated if students' varying learning styles affect the use of social media for learning based on two learning styles, that is independent and collaborative.
Questionnaires were used to gather the students' perceptions
after using a social media enabled tool, which was specifically developed based on three key factors (l.e, Self, Effort and Function). A total of 48 students with Computer Science background were recruited to participate in the experiment. Path modeling analyses indicate the factors to predict 70% and 59% of usage among the independent and collaborative groups, respectively. Results show collaborative students to emphasize more on Function and Effort than Self, whereas Self and Effort had stronger impacts on the independent students than Function. Pair-wise comparisons revealed the differences between the learning styles to be significant for Self and Function, that is Self to be more important for independent students whereas Function Was more important for the collaborative students. No significant differences were noted for Effort. The findings clearly indicate that students' learning styles play important "oles in their learning activities, and hence
academics should look into the possibilities of using different approaches in their teaching practices
Ergonomic Study On Input-Output Devices For Mobile Computing
No full textThe study focused on keypad design, screen design, text entry, mobile phone design and health effeects
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