1,720,955 research outputs found
La Social Networks Analysis (SNA) applicata alle comunità virtuali per l’apprendimento: analisi strutturale delle interazioni all’interno dei Web forum
No full textLe attività di apprendimento e formazione in rete possono attuarsi tramite vari artefatti che mediano le relazioni fra lo studente, l’oggetto dell’attività e la comunità virtuale. Uno degli artefatti più utilizzati per creare delle comunità virtuali è il Web forum. L’analisi dell’interazione e della collaborazione all’interno dei queste comunità virtuali può essere effettuata tramite analisi qualitative e quantitative (ad es. analisi del contenuto e quantità dei messaggi “postati”), ma anche considerando i dati relazionali.
In questo contributo, presentiamo le potenzialità della Social Network Analysis (SNA) per analizzare le interazioni via Web forum realizzate all’interno di due comunità virtuali di studenti. Questo tipo di analisi offre vari indici e rappresentazioni grafiche (sociogrammi) per descrivere ed analizzare la struttura e le componenti dei legami e della collaborazione all’interno di una comunità virtuale, nonché l’influenza di ruoli e posizioni individuali sulle interazioni realizzate. La SNA appare un interessante metodo sia per obiettivi di ricerca sia per supportare il tutor/moderatore durante l’intero processo di e-Learning (monitorare gli eventi critici come l’isolamento, la catalizzazione della discussione e la non-reciprocità delle interazioni). Tuttavia, restano alcuni aspetti critici, dal punto di vista pratico e concettuale, che il ricercatore e il tutor devono considerare nell’applicazione della SNA alle comunità virtuali di studenti.In the Activity Theory approach, the online learning may be carried out through a variety of Web artefacts that mediate the relationship between the students, the object of the activity and the virtual community.
One of the most widely-used Web artefacts utilised for creating virtual communities is the Web forum. The analysis of interaction and collaboration within these communities can be done by qualitative and quantitative analysis (for example, content analysis or numbers of «posted» messages), but also by considering relational data.
In this paper, we present the potential of Social Network Analysis (SNA) to analyse the Web forum interactions realised within two virtual communities of students. This type of analysis offers many indications with graphical representations (sociograms) to describe and analyse the structure and
the components of bonds and collaboration within a virtual community and to describe and analyse the influence of individual role and position on the interactions realised. The SNA seems to be an advantageous method both for research purposes and as a support for the tutor/moderator during the
e-Learning process (monitoring critical events such as isolation, catalysing discussion and non-reciprocity interactions). In addition, we also present some practical and conceptual critical issues that the researcher and the tutor must consider in applying the SNA to virtual communities of learners
La Social Networks Analysis (SNA) applicata ai gruppi collaborativi per l’apprendimento in rete: analisi strutturale delle interazioni all’interno dei forum on-line
No full textSoftware per analizzare le interazioni di gruppo: Cyram NetMiner e Ucinet
No full textPresentazione, esplorazione e confronto tra due strumenti software utili per Social Network Analysis (l’analizzi di interazioni all’interno di comunità virtuali): Cyram NetMinere e Ucinet
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
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
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
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