1,720,998 research outputs found
Effect of Seiridium cardinale on growth of cypress (Cupressus sempervirens) clones
To determine whether cypress bark canker, caused by the fungus Seiridiumcardinale (Wag.) Sutton & Gibson, affects height and diameter growth of common cypress (Cupressussempervirens L.), these parameters were measured over 4 years on inoculated and uninoculated ramets of 50 cypress clones at two locations in Italy. An analysis of covariance, using the pre-trial diameter and height of the ramets as the covariates, showed that the disease had no effect on either height or diameter growth
Predicting deadlock in store-and-forward networks
Aim of this paper is to study the complexity of the Deadlock-Safety problem for Store-and-Forward networks. The following results are shown: 1. the problem is in general NP-complete, even for tree-like networks. It is still NP-complete for various "simple" topologies (including bipartite, grid and two-terminals series-parallel graphs) when each vertex buffer is of unit capacity; 2. the problem is solvable in PTIME for 1-buffer tree-like networks
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Large-scale network analytics: diffusion-based computation of distances and geometric centralities
Given a large complex network, which of its nodes are more central? This question emerged in many contexts (e.g., sociology, psychology and computer science), and gave rise to a large range of proposed centrality measures. Providing a sufficiently general and mathematically sound classification of these measures is challenging: on one hand, it requires that one can suggest some simple, basic properties that a centrality measure should exhibit; on the other hand, it calls for innovative algorithms that allow an efficient computation of these measures on large real networks. HyperBall is a recently proposed tool that accesses the graph in a semi-streaming fashion and is at the same time able to compute the distance distribution and to approximate all geometric (i.e., distance-based) centralities. It uses a very small amount of core memory, thanks to the application of HyperLogLog counters, and exhibits high, guaranteed accuracy
Variations on the Author
“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
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
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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