1,720,965 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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

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    Einsatz von Microsoft Kinect zur Erfassung der Personenanzahl und deren Wärmeeintrag in geschlossenen Räumen

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    Durch die zunehmende Wichtigkeit von Energieeffizienzsteigerungen rücken neben der Sanierung von Bestandsgebäuden immer mehr Gebäudeautomationssysteme in das Blickfeld der Betrachtung. Über automatisierte Steuerungsabläufe können sie große Einsparpotenziale erreichen. Dabei werden jedoch viele dynamische Parameter, wie die Anzahl von Personen, in Gebäuden noch nicht berücksichtigt. In dieser Arbeit wird die Verwendung der Microsoft Kinect als Personensensor für die Ermittlung des Wärmeertrags auf geschlossene Räume untersucht. Dafür werden verschiedene Möglichkeiten der Personenerfassung vorgestellt und ihre Integrationsmöglichkeiten in Gebäudeautomationssysteme analysiert. Im Anschluss werden Optionen zur Personenzählung mittels der Kinect überprüft und ein Konzept zur Erfassung von Personen und der Berechnung ihrer abgegebenen Wärmemenge erstellt. Der entwickelte Prototyp verwendet den Tiefensensor der Kinect zur Bestimmung der Anzahl von Personen im Raum. Darüber hinaus berechnet er die abgegebene Wärmemenge über die Verweilzeit, die sich die Personen im Raum befinden. In verschiedenen Testläufen wird der Prototyp getestet und seine Möglichkeiten und Grenzen für den praktischen Einsatz ermittelt und in der Bachelorarbeit vorgestellt

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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

    Vergleich verschiedener Fingerprint-Berechnungsverfahren zur Standortbestimmung innerhalb von Gebäuden

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    Die Nutzung von Standortinformationen speziell innerhalb von Gebäuden hat in den letzten Jahren und verstärkt mit der Vorstellung der Bluetooth-basierten Apple iBeacons ein hohes Interesse erfahren. Gerade im Bereich des Facility Managements zeigt sich zum Beispiel bei der Navigationsunterstützung von Handwerkern während der Konstruktions- oder Nutzungsphase des Gebäudes ein großes Potenzial durch die Lokalisierung der Nutzer. Bei der Entwicklung von Systemen zur Standortbestimmung wird dabei häufig auf die bereits vorhandene drahtlose Infrastruktur (Wi-Fi) oder energieeffiziente Bluetooth Low Energy-Beacons zurückgegriffen. Aufgrund ihrer hohen Genauigkeit und Stabilität werden bei diesen signalbasierten Sensoren oft Musterabgleichsverfahren, allen voran das Fingerprinting, für die Berechnung der Position der Nutzer verwendet. In dieser Arbeit werden, basierend auf der Definition eines Fingerprints als mathematischer Vektor, insgesamt elf unterschiedliche Berechnungsverfahren untersucht und miteinander verglichen. Dabei werden sowohl „Nearest Neighbor“-Verfahren betrachtet, welche die Euklidische Distanz zweier Vektoren berechnen, als auch Verfahren, die die Kosinus-Ähnlichkeit und somit den Winkel zwischen zwei Vektoren vergleichen. Darüber hinaus werden weitere Verfahren betrachtet, die andere Ähnlichkeitsmaße verwenden und häufig im Kontext des „Data-Mining“ Anwendung finden. Die verschiedenen Verfahren wurden im Zuge einer umfangreichen Evaluation in einem Bürokomplex bei laufendem Betrieb getestet und verglichen. Dabei wurden zwei Smartphones für die Datensammlung verwendet und die Verfahren in unterschiedlichen Infrastrukturbedingungen analysiert. Die Evaluationsergebnisse zeigen, dass es teilweise erhebliche Unterschiede in der Genauigkeit der Berechnung gibt und veranschaulichen, dass das „Adapted Nearest Neighbor“-Verfahren das größte Potenzial bietet und wie die Berechnungsgenauigkeit noch weiter optimiert werden kann

    Multilayer graph networks for modeling and analyzing exercise scenarios in civil protection and disaster response

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    Based on a reflection of the emergency sector as critical infrastructure and with reference to the concepts of preparedness and prevention as well as criticality, the dissertation examines to what extent software applications can be used to support the planning and evaluation of practical exercises in civil protection and disaster response. A network-theoretical approach is chosen which allows to model scenario-based exercises as dynamic networks. In particular, it is thereby achieved that actions and structures from the exercise can be represented and analyzed in their temporal context through different types of relationships or interactions. First of all, the unique dual role of the emergency sector in the system of infrastructures is addressed and the importance of the practical exercise as a training method and for simulating real operations for the sector is explained. Based on a literature review and interviews with practice partners from different organizations and authorities of civil protection and disaster response in Germany, the exercise will be analyzed with regard to its objectives and the methods used. In this context, especially practical approaches and problems will be discussed and compared. The analysis shows that each exercise is very different in terms of its underlying objectives and approaches and depends strongly on the needs of the respective organizations and authorities. Furthermore, it becomes apparent that especially the planning of such exercises is very complex and therefore there is a need for support tools for the development of scenarios and the definition of exercise boundaries. Also in connection with the evaluation of the exercises, there is a need for a software solution to support the processes. It is apparent that, despite the existing awareness of the importance of evaluations, hardly any systematic procedures are available for this purpose, and that the evaluation as a whole is often not carried out with the necessary consistency, partly due to time constraints. It is particularly noticeable that communication between the participants is often identified as a potential for errors during the exercise, but that the actual communication interactions taking place during the exercise are not yet systematically recorded and analyzed. In addition to the analysis of the practical exercise, the dissertation also evaluates the relevant research literature from the fields of organizational research, emergency management and risk and criticality research. The potential of social network analysis for the aspects of planning and evaluation of exercises is identified and decisively worked out, which, supported by statements from practice, allows to define requirements for a software system. In order to meet the specific requirements of the exercise, a concept for a network-based support software is designed and implemented in a tablet-based demonstrator application called ScenarioBuilder BOS. The application supports the user in modeling and developing exercise scenarios as well as in analyzing and evaluating them in various ways. For example, simulations of cascading effects can be carried out or the centrality of the various actors in the network can be compared. The aim of the application is to enable the user to develop interpretation approaches and to question actions and relationship structures by presenting the scenario in different perspectives. In order to evaluate the application and the benefit of social network analysis as a methodology to support the planning and evaluation of exercises, the thesis describes four use cases for the ScenarioBuilder BOS, three of which are evaluations of real civil protection exercises in different organizations and authorities. The fourth case describes the use of the application to develop the scenario of a fictitious exercise and serves to validate the simulation and other functions of ScenarioBuilder BOS. The use cases show that the application and the associated methodology of social network analysis has a great potential especially for the evaluation of exercises. It enables a systematic recording and evaluation of communication relationships in particular and can therefore make a valuable contribution, for example, to assessing the workload of actors, analyzing compliance with command structures or explaining dynamics in teams
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