1,720,967 research outputs found
Clustering of the italian regions based on their equitable and sustainable well-being indicators: a three-way approach
No full textThe aim of this study is to provide an analysis of the Italian regions according to their equitable and sustainable well-being indicators pertaining to several economic, social and environmental domains with reference to the year 2017, in order to identify groups of homogeneous regions taking into account the heterogeneity of the domains. In particular, the regions are grouped into root clusters, which are consistent across domains, and specific clusters, which vary with domains. The partitions are obtained using the ROOT CLUStering (ROOTCLUS) model for three-way proximity data. The results show that in the well-known opposition between northern and southern Italian territories, some regions located in the Central and Southern Italy have a diversified behaviour with respect to some domains
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
Italian Households’ Material Deprivation: Multi-Objective Genetic Algorithm approach for categorical variables
No full textMaterial deprivation is a complex concept referring to the inability of
families to meet certain needs. Some indicators of material deprivation, included in
the EU portfolio, are collected by EU-SILC survey on households and individuals
through categorical variables. In this study, the large dataset provided by EU-SILC
survey collected in Italy in 2017, on a sample of 22,226 households is analysed. The
main goal is to identify clusters of Italian households to take into account the multiple
aspects of material deprivation conditions, including environmental ones. To that end,
a multi-objective genetic algorithm as a clustering technique for categorical data is
proposed. The results are compared with those obtained by applying a K-means
algorithm to latent variables scores
Unsupervised classification of texture images by gray-level spatial dependence matrices and genetic algorithms
No full textRecognition of objects and regions of interest in digital image processing
often relies on texture classification. The source image is divided according to a
rectangular grid to form textured regions each of which is characterized by some
numerical significant measure called feature. A new approach is introduced that uses
the gray-level spatial dependence matrices and the genetic clustering with unknown
K algorithms to locate sets of homogeneous regions and enhance the discrimination
amongst them. There is no need to select and compute complicated features
transforms as the procedure is based on the optimal weighting of the simple basic
features. A simulation experiment is performed using the well-known Brodatz
textures to demonstrate that the new procedure is able to define well separated clusters
according to the principle of strong internal cohesion and high inter-clusters
separation
Cultural Participation and Social Inequality in the Digital Age: A Multilevel Cross-National Analysis in Europe
No full textCultural participation is considered as a necessary element of social equity, able to generate positive effects on individual opportunities and quality of life as a whole. Adopting a cross-national perspective, this study considers both traditional and new cultural practices deriving from the rise of new technologies, aiming at analyse how social inequality affects cultural participation in the European countries in the digital age. The main specific goals are the following: (1) elaboration of a synthetic index of Cultural Participation at European level; (2) identification of the determinants of participation at both individual and country level; (3) test of the interactions between some country features and individual characteristics, indicators of social differences, to verify their effects on cultural participation. The empirical analysis is based on 26,053 respondents aged 15 years and over, collected by the Special Eurobarometer survey n. 399 containing comparable data on cultural participation. To take into account country characteristics, some variables have been taken from other statistical sources (Eurostat). Data analysis resorted to Nonlinear Principal Component Analysis and multilevel regression models
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
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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