177,760 research outputs found
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Efeitos da Política Fiscal sobre a Dinâmica Macroeconômica: Dinâmica da Dívida Pública Brasileira e seus Efeitos no Período Recente
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Previous issue date: 2014-06-05Este trabalho trata do tema da Política Fiscal, mais especificamente, dos seus efeitos sobre a dinâmica macroeconômica e analisa a dinâmica da dívida pública brasileira e seus efeitos no período recente. O objetivo geral foi verificar se a dívida pública tem efeito enriquecedor, se ao se endividar existe crescimento real do produto da economia. O presente trabalho discute o debate acerca da questão da dívida pública, apresenta as diferentes visões sobre os efeitos da política fiscal na dinâmica macroeconômica, verifica qual tem sido o resultado encontrado por diferentes autores para a economia brasileira e analisar o caso brasileiro (pós-real)
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
On spectral measures for certain unitary representations of R. Thompson's group F
No full textThe Hilbert space H of backward renormalisation of an anyonic quantum spin chain affords a unitary representation of Thompson’s group F via local scale transformations. The group F is discrete and mysterious in many ways so the obvious questions of irreducibility and distinctness of these representations appear difficult and in a first step towards solving them we calculate the spectral measures of group elements in the representation. Given a vector in the canonical dense subspace of H we calculate the corresponding spectral measure and illustrate with some examples. To do this calculation we introduce the “essential part” (intimately related to the conjugacy class) of an element. The spectral measure for any vector in H is, apart from possibly finitely many eigenvalues, absolutely continuous with respect to
Lebesgue measure. The same considerations and results hold for the Brown-Thompson groups Fn (for which F = F2)
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
The fog of cyberwar: why the threat does not live up to the hype
No full textDespite the hype, cyberwarfare is a seldom-used, relatively toothless tactic that will not change foreign policy calculations anytime soon
Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942
No full textLetter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
A Cluster-based Approach to Web Adaptation in Context-Aware Applications
No full textIn mobile Web applications, there is the need to take into account context characteristics (such as the device capabilities, the network QoS, the user preferences, and the location) to meet constraints of the client and guarantee a satisfying interaction with the user. A major issue in this framework is that, in real world scenarios, the number of adaptation requirements can change and increase very rapidly. Therefore, a relevant problem is the definition of effective methods for choosing efficiently the most suitable adaptation for a given context. To this aim, we propose in this paper a new cluster-based approach that automatically classifies the the contexts on the basis of their characteristics: at a logical level, each class corresponds to contexts that require similar adaptations. We show that this classification strongly alleviates the adaptation process. The approach relies on a metric distance that is used to compare contexts and on a threshold that is used to group them. Each context in a cluster is associated with the adaptation that best matches with the context requirements. We also illustrate an implementation of our approach and a number of experimental results that support its effectiveness. Semantic Web design principles and enabling technologies are important ingredients of the overall framework
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