1,721,239 research outputs found

    Problems in Metcalfe′s Law

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    分析了麦特卡尔夫定律(Metcalfe'sLaw)对正的网络外部性(Externalities)的依赖性及其对网络价值估计的局限性,指出了该法则的缺陷,并给出了相应的结论.In this paper, the problems existed in Metcalfe′s law for describing network externalities and estimating network value are analyzed, which lead to a serious of failure in network economy. Some results are proposed.国家社会科学基金(02BJY110)资

    Compound Learning, Neural Nets And The Competitive Process

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    In this paper we try to assess the potential application of neural networks as a modelling tool for complex evolutionary processes. The concept that we wish to investigate is the one of compound learning, that is the fact that, in a complex environment, what and how much economic entities learn depends upon what has been learnt in other entities in an interactive fashion. Our application consists of a stylised environment in which two firms learn how to innovate their product and to sell it on a market which learns how to evaluate the product which is being supplied. We seek to demonstrate that what matters for competitive advantage is not the absolute value of learning capability but the differential learning capability between the competing firms and between the firms and the market. Another appealing way to see it is that the chance for one of the two firms to gain competitive advantage is not unlimited but is constrained by own learning capability and the learning capability of the market.Learning, Competition, Neural networks, JEL Classification: L20, O30,

    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

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