1,720,995 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

    Using social semantic knowledge to improve annotations in personal photo collections

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    Instituto Politécnico de Lisboa (IPL) e Instituto Superior de Engenharia de Lisboa (ISEL)apoio concedido pela bolsa SPRH/PROTEC/67580/2010, que apoiou parcialmente este trabalh

    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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    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

    Predição da Procura de Bicicletas para Otimizar o Rebalanceamento das Bicicletas Partilhadas em Lisboa

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    Com o desenvolvimento urbano nas cidades, os sistemas de bicicletas partilhadas têm vindo a ser cada vez mais utilizados como forma de evitar o trânsito causado pelos au- tomóveis, sendo uma opção que promove a mobilidade sustentável, contribuindo para redução do tráfego automóvel e diminuição da poluição nas grandes cidades. A utilização destes sistemas apresenta problemas de desequilíbrio na disponibilidade de bicicletas e docas para alugar e devolver bicicletas, respetivamente, o que torna o ser- viço insatisfatório. O rebalanceamento das estações na rede tem sido a solução utilizada para tentar minimizar este problema, através da redistribuição de bicicletas pela rede para evitar estações vazias ou cheias, que impossibilitam o aluguer e entrega das mesmas, respetivamente. No entanto, este processo pode ser melhorado, para evitar viagens des- necessárias por parte dos funcionários e, por outro lado, para diminuir o tempo em que uma estação se encontra vazia ou cheia. De forma a otimizar este processo, podem ser utilizadas técnicas de previsão da quan- tidade de bicicletas nas estações sendo possível perceber quais as que necessitam de rebalanceamento e quando este é necessário. Com base em dados disponibilizados pela Câmara Municipal de Lisboa relativos às bicicletas que se encontram nas estações bem como às viagens que ocorreram na rede de bicicletas partilhadas no ano de 2018, foi efetuado o estudo dos padrões diários de enchimento e esvaziamento para cada estação. Foram utilizados algoritmos de clustering para agrupar as estações da Gira de acordo com variáveis temporais e espaciais, de forma a encontrar estações com características e padrões semelhantes de rácio, partidas e chegadas, localização e número de docas. Foi levada a cabo uma análise com o objetivo de detetar o rebalanceamento nos dados, de forma a poder remover essa influência dos dados e ser possível o desenvolvimento de modelos preditivos sem qualquer influência de rebalanceamento. Foram desenvolvidos modelos preditivos específicos para cada estação, tendo sido efetuado um processo de validação aquando do qual foram utilizados diversos parâmetros, tendo sido escolhidos aqueles que minimizam o erro. Finalmente, foi levada a cabo uma análise dos momentos em que não há viagens na rede, de forma a compreender se tal se deve à inexistência de clientes ou ao facto das estações estarem cheias ou vazias.With urban development in cities, shared bicycle systems are increasingly used as a way to avoid traffic caused by cars, being an option that promotes sustainable mobility and contributes for traffic and pollution reduction in urban areas. These systems present imbalance problems when it comes to bicycle and dock avail- abity, which disable users from renting or returning bicycles, respetively, causing the service to be unsatisfactory. The bike relabancing process in the system has been the current go to solution in order to try to solve the imbalance issue. This consists of redis- tributing bikes across stations in the network so that each station can have an optimal quantity of bicycles, which prevents stations from becoming empty or full which, in turn, disables the users to rent or deliver bikes, respectively. However, this process can be im- proved to avoid unecessary rebalancing trips and minimize the amount of time stations are imbalanced. In order for this process to be optimized, forecasting techniques can be used to pre- dict the amount of bikes in each station, making it possible to understand which stations require rebalancing, before such an event occurs. Based on data provided by the Lisbon City Council regarding the number of bicycles found at the stations, as well as trips that occurred on the shared bicycle network in 2018, the study of daily filling standards was carried out in order to understand when the stations are full or empty. In order to characterize Gira stations, clustering algorithms were used to group them according to temporal and spatial variables, in order to find stations with similar charac- teristics and patterns of ratio, departures and arrivals, location and number of docks. An analysis was carried out in order to detect rebalancing in the data, in order to be able to remove this influence from the data and to enable the development of predictive models without any rebalancing influence. Specific predictive models were developed for each station, after a validation process during which several parameters were used, and those whose metrics had a lower value were chosen. Finally, an analysis was carried out in order to understand if the moments when there are no bicycle rentals on the network is due to a lack of customers or the fact that the stations are either full or empty
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