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Correction to: Analysing the determinants of Italian university student mobility pathways, (Genus, (2021), 77, 1, (34), 10.1186/s41118-021-00146-2)
No full textFollowing the publication of the original article (Columbu et al., 2021) we were informed that the authors’ given and family names had unfortunately been interchanged. The author names have been corrected in the author list of this Correction and updated in the original article
A Multiplex Network Approach for Analyzing University Students’ Mobility Flows
No full textThis paper proposes a multiplex network approach to analyze the Italian students’ mobility choices from bachelor’s to master’s degrees. We rely upon administrative data on Italian students’ careers by focusing on those who decide to enroll in a different university for their master’s studies once they graduate in a bachelor’s program. These flows are explored by defining a multiplex network approach where the ISCED-F fields of education and training are the layers, the Italian universities are the nodes, and the weighted and directed links measure the number of students moving between nodes. Network centrality measures and layers similarity indexes are computed to highlight the presence of core universities and verify if the network structures are similar across the layers. The results indicate that each field of study is characterized by its network structure, with the most attractive universities usually located in the Center-North of the country. The community detection algorithm highlights that graduates’ mobility between universities is encouraged by the geographical proximity, with different intensities depending on the field of study
A multiplex network approach for analyzing university students’ mobility flows
Full text linkThis paper proposes a multiplex network approach to analyze the Italian students’ mobility choices from bachelor’s to master’s degrees. We rely upon administrative data on Italian students’ careers by focusing on those who decide to enroll in a different university for their master’s studies once they graduate in a bachelor’s program. These flows are explored by defining a multiplex network approach where the ISCED-F fields of education and training are the layers, the Italian universities are the nodes, and the weighted and directed links measure the number of students moving between nodes. Network centrality measures and layers similarity indexes are computed to highlight the presence of core universities and verify if the network structures are similar across the layers. The results indicate that each field of study is characterized by its network structure, with the most attractive universities usually located in the Center-North of the country. The community detection algorithm highlights that graduates’ mobility between universities is encouraged by the geographical proximity, with different intensities depending on the field of study
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
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
Analysing the determinants of Italian university student mobility pathways
Full text linkIn this paper, we study the mobility choices of Italian students in their transition from a bachelor’s to a master’s degree level with an added emphasis on their overall mobility pathways. We consider individual data from the Italian National Student Archive on two cohorts of students who were enrolled in the academic years 2011–2012 and 2014–2015. We followed both cohorts in Italian universities for six academic years. This allowed us to depict five different profiles of students, categorise them as stayers vs. movers, and work at two different levels. Logit models were then adopted to study the probability to be in mobility at a master’s level, given that a student had been a stayer at bachelor’s degree, and to assess the effect of the field of study. Apart from individual characteristics, network centrality measures were encompassed in the model to assess the university attractiveness in influencing mobility choices
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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