1,721,005 research outputs found
Why computing students should contribute to open source software projects
No full textAcquiring developer-prized practical skills, knowledge, and experiences.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Software Engineerin
Author Name Disambiguation using Large Language Models: Contributions to a system for open reproducible publication research
No full textAuthor name disambiguation, otherwise described as (publication) record linking, is a problem that has had considerable research dedicated to its solv- ing. Author attributions, calculating research met- rics and conducting literature reviews are amongst processes that experience increased difficulty due to ambiguous author names. In this study, a novel approach is presented to disambiguate au- thors related to scientific publications, using Large Language Models (LLMs) in combination with the Alexandria3k software package. LLMs have shown great potential in processing, analysing and drawing conclusions when presented with human- readable data. The approach presented in this study supplies a LLM with known attributes of publica- tion records and authors, such as names, affiliations and co-authors, to determine whether records writ- ten by authors with ambiguous names can be linked to the same real-world person. Using Alexan- dria3k, a dataset of authors and publications with confirmed identities is created to test and validate the approach. Finally, the approach is measured against state-of-the-art methods to disambiguate author names and different configurations are pre- sented and discussed.CSE3000 Research ProjectComputer Science and Engineerin
Use of LLMs to Improve Affiliation Disambiguation in Alexandria3k
No full textThe growth of academic publications, heterogeneity of datasets and the absence of a globally accepted organization identifier introduce the challenge of affiliation disambiguation in bibliographic databases. In this paper, we create a baseline using the currently implemented algorithm for author affiliation linkage in Alexandria3k by comparing it to the ground truth. We aim to explore the usage of LLMs (GPT-4) in the Alexandria3k environment to disambiguate author affiliations. The proposed approach extracts the research organization from textual affiliations provided by researchers through their published works and cross-references the organization across the Research Organization Registry. Our process shows promising results and a significant improvement on the existing algorithm in terms of matching rate and identification of multiple affiliations. We discuss the margin of error in LLM results, limitations of the ground truth, and suggest future research directions.CSE3000 Research ProjectComputer Science and Engineerin
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
Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis
Full text linkExisting work on the practical impact of software engineering (SE) research
examines industrial relevance rather than adoption of study results, hence the
question of how results have been practically applied remains open. To answer
this and investigate the outcomes of impactful research, we performed a
quantitative and qualitative analysis of 4,354 SE patents citing 1,690 SE
papers published in four leading SE venues between 1975-2017. Moreover, we
conducted a survey on 475 authors of 593 top-cited and awarded publications,
achieving 26% response rate. Overall, researchers have equipped practitioners
with various tools, processes, and methods, and improved many existing
products. SE practice values knowledge-seeking research and is impacted by
diverse cross-disciplinary SE areas. Practitioner-oriented publication venues
appear more impactful than researcher-oriented ones, while industry-related
tracks in conferences could enhance their impact. Some research works did not
reach a wide footprint due to limited funding resources or unfavorable
cost-benefit trade-off of the proposed solutions. The need for higher SE
research funding could be corroborated through a dedicated empirical study. In
general, the assessment of impact is subject to its definition. Therefore,
academia and industry could jointly agree on a formal description to set a
common ground for subsequent research on the topic.Comment: 19 pages, 2 figures, 6 tables, journal articl
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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