1,720,994 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
GRelC Data Gather Service: a Step Towards P2P Production Grids
No full textCurrent production Grids involve hundreds of sites and thousands of machines. In this context, P2P solutions are well suited - with regard to existing centralized and hierarchical approaches - to implement highly scalable, decentralized, reliable and manageable grid services. In this paper we describe the GReIC Data Gather Service from an architectural and technological point of view. This service has been developed within the Grid Relational Catalog (GReIC) Project, at the Center for Advanced Computational Technologies (CACT) of the University of Lecce. The GReIC Data Gather architecture aims at integrating transparently and securely distributed and geographically spread heterogeneous grid data sources through Data Gather Service nodes connected in a P2P fashion
A Grid System for the Ingestion of Biological Data into a Relational DBMS
No full textThis paper presents a data Grid system, built on top of specific biological data sources in flat file format, which carries out the ingestion into a relational DBMS that integrates these data. The prototype has been implemented for UniProtKB (located at EBI - European Bioinformatics Institute, UK) and UTRdb (located at ITB/CNR Bari, Italy) data banks owing to the following two reasons: a public available relational schema of the UniProtKB and UTRdb does not exist; UniProtKB is the most complete repository of proteins whereas UTRdb contains mRNA nucleotides and although the relation between nucleotides and proteins could be important for several studies, an explicit management of such relationship (cross-referenced link) is not yet available. The system also allows transparent, periodic update of both the DBMS and the involved data banks. Each component is a GSI (Grid Security Infrastructure) enabled Web Service, exploiting the gSOAP Toolkit; the system utilizes several grid nodes to carry out the data ingestion faster whilst reducing the redundance of data present into the flat files
Variations on the Author
Full text link“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
The Grid Relational Catalog Project
No full textToday many DataGrid applications need to manage and process a very large amount of data distributed across multiple grid nodes and stored into heterogeneous databases.
Grids encourage and promote the publication, sharing and integration of scientifica data (distributed across several Virtual Organizations) in a more open manner than is currently the case, and many e-Science pojects have an urgent need to interconnect legacy and independently operated databases through a set os data access and integration services.
The complexity of data management within a Computational Grid comes from the distribution, scale and heterogeneity of data sources.
A set of dynamic and adaptive services could address specific issues related to automatic data management providing high performance and transparency as well as fully exploiting a grid infrastructure. These services should involved data migration and integration, discovery of data sources and so on, providing a transparent and dynamic layer of data virtualization.
In this pape we introduce the Grid-DBMS concept, a framework for dynamic data management in a grid enviroment, highlighting its requirements, architecture, components and services. We also present an overview about the Grid Relational Catalog Project (GRelC) developed at the CACT/ISUFI of the University of Lecce, which represents a partial implementation of a Grid-DBMS for the Globus Community
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Full text linkWe 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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