1,721,060 research outputs found

    Collaborative Environments: Aspects in Communication and Educational Visualisation

    No full text
    This thesis examines several technical and educational aspects in collaborative environments. Collaborative environments help multiple users to share and modify data objects in real-time although the users themselves may not be present at the same physical location. The users of the collaborative environment form a group in which they can exchange information about the state and updates of shared objects. As existing applications in collaborative virtual environments show, supporting large scale collaborative environments and providing users with a notion of consistency on the shared objects is difficult. The physical distance between users can be large and the state of objects can be complex. Thus there is only a limited possibility to transmit the shared state and propagate state changes between users. Moreover, objects can change as a function of time, i.e. objects can change their state even without any update involved. Another aspect, affecting the scalability of collaborative environments, is the organisation of membership for users and th

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    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

    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 link
    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

    Distributed algorithms visualisation for educational purposes

    No full text
    We present our work on building interactive continuous visualisations of distributed algorithms for educational purposes. The animations are comprised by a set of visualisation windows. The visualisation windows are designed so that they demonstrate i) the different behaviours of the algorithms while running in different systems, ii) the different behaviours that the algorithms exhibit under different timing and workload of the system iii) the time and space complexities of the algorithms and iv) the “key ideas ” of the functionality of the algorithms. Visualisations have been written for a set of 10 algorithms that are tought in a Distributed Algorithms advanced undergraduate course. 1

    Dispelling the Myths Behind First-author Citation Counts

    Full text link
    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

    Author Index

    No full text
    Nao informado

    Simple gossiping with balls and bins

    No full text
    Recent research suggests decentralised probabilistic protocols on support for multipeer communication. The protocols scale well and impose an even load on the system. They provide statistical guarantees for the reliability, i.e. an information sent from an arbitrary source will reach all its destinations. Analysing the reliability is based on modelling the propagation of events as an epidemic process often referred to as gossiping or rumour spreading. This work provides a new method for analysing such protocols, by representing the propagation of information as a balls-and-bins game. The method gives a simple relation between the number of hops a gossip message is propagated and the reliability provided. This way it can facilitate the analysis of the multiple delivery problem i.e. to prevent multiple deliveries of the same message to the application layer. By introducing a new protocol it is shown how existing approaches can be adapted to the balls-and-bins approach. Furthermore, the proposed method is applied to analyse the performance of this protocol.
    corecore