1,720,968 research outputs found
Editorial special issue on data analytics for engineering, science and society
No full textThis special issue introduces original contributions aiming to make data analytics models and technique accessible to people and useful to address engineering, scientific and societal challenges. Each contribution included in the special issue describes interesting research activities developed in the field of applied data science innovation. These contributions have a wide variety of perspectives including methodological aspects, theoretical and technological views. The special issue covers a wide range of interesting topics categorised into: (1) solutions addressing issues related to exploit/deploy data science technologies such as load scheduling in distributed environments (Bhatia et al.), quality of service (Haytamy et al.), data retrieval strategy (Andrejev et al.), reduction of data transmissions in sensor networks (Kniess and Oliviera), privacy in the data analytics workflow (Belhajjame et al.); (2) innovative analytics algorithms towards interpretable models proposed to add more transparency in some application scenarios such as Healthcare (Fawagreh and Gaber), electric distribution networks (Renga et al.), quantitative stock trading (Cagliero et al.); (3) characterizing user behavior and the surrounding environments as discussed by Chen and Golab in the context of micro-journal mining to understand environment stimuli. Boratto et al. present a strategy to model user behavior in journey planning, while Castells-Graells et al. discuss how to address cyclings’ urban safety. Finally, Jabbour et al. present a methodology to easily detect overlapping community in networks
Guest Editorial: Papers selected from European Conference on Advances in Databases and Information Systems
No full textPromoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business
No full textThis paper provides a multi-perspective vision of diversity and inclusion (D&I) projects aiming to promote equity in organisations seeking to build virtuous contexts where people can achieve positive professional and personal objectives. It introduces the understanding of D&I, best practices and outcomes of projects promoted in multicultural organisations, including academia, universities and research centres (Politecnico di Torino, university education in France and the French CNRS) and in leading international companies, namely Accenture and Nestlé. The paper gathers and extends the discussion and ideas exchanged in the D&I panel of the conference ADBIS-202
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
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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