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ROISI - ISSN 2634-1468 - © ISTE Ltd
The journal aims at providing a space for the publication of disciplinary or interdisciplinary methodological or applied French-speaking research, in the field of information systems engineering. The contributions formalize the design, implementation, and evaluation of information systems. The journal aims to promote and energize stimulating and high-quality research in the emerging themes of information systems. The language of publication is French and, exceptionally, English.
Scientific Board
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Guillaume CABANAC
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Nadira LAMMARI
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L’objectif de la revue est de fournir un espace pour la publication de recherches francophones disciplinaires ou interdisciplinaires, méthodologiques ou appliquées autour de l’ingénierie des systèmes d’information. Les contributions ont pour but de formaliser la conception, la mise en œuvre et l’évaluation des systèmes d’information. La revue vise à promouvoir et dynamiser des recherches stimulantes et de haute qualité dans les thématiques émergentes des systèmes d’information. La langue de publication est le français et, à titre exceptionnel, l’anglais.
Conseil scientifique
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Guillaume CABANAC
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Nadira LAMMARI
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Ce numéro spécial de la revue Open ISI regroupe des extensions d’articles sélectionnés d’INFORSID 2021.
Detection and characterization of polarization are of major interest in Social Network Analysis, especially to identify conflictual topics that animate the interactions between users. As gatekeepers of their community, users in the boundaries significantly contribute to its polarization. We propose ERIS, a formal graph approach relying on community boundaries and users’ interactions to compute two metrics : the community antagonism and the porosity of boundaries. These values assess the degree of opposition between communities and their aversion to external exposure, allowing an understanding of the overall polarization through the behaviors of the different communities. We also present an implementation based on matrix computations, freely available online. We compare our method with existing solutions. Finally, we apply our proposal on real data harvested from Twitter with a case study about the vaccines and the COVID-19.
In December 2019, an epidemic of pneumonia attributed to a new coronavirus started in the Chinese city of Wuhan. Its global spread led the WHO to declare the COVID-19 epidemic a pandemic on March 11, 2020. Europe has also been hit by the epidemic and has experienced successive confinements to limit the pressure on health care systems. However, some countries (e.g. Taiwan and South Korea) have been better able to contain the pandemic, as evidenced by significantly lower mortality figures. In these countries, digital technology is often an important part of the government’s response to the pandemic. In this research, we focus on the adoption of mobile contact tracing applications, which are widely deployed in Europe on the model of comparable Asian projects. On the one hand, we highlight the disconnection between the state of knowledge, formal or experiential, of proximity tracing applications. On the other hand, thanks to the analysis of the decision making process in front of this innovation, for governments and citizens, we identify two distinct modalities of consent, free or directed. We prefer a local diffusion strategy to global diffusion strategies and propose an application to the university context.
Detection of real-world events using online data sources is a trending topic in the information retrieval domain. Multiple data sources are potentially of interest and some of them are data streams. There are multiple data sources that are potentially interesting, and some of them are textual data streams, structured or unstructured. We propose to analyse the problem of event detection from text data stream and to focus particularly on the importance of the representation of the textual data. To do so, we compare multiple approaches in different contexts: supervised and unsupervised. We focus on the performances of Transformer-based architectures for event detection on short text documents, and we conclude that, contrary to previous studies, these architectures can be competitive compared to classical methods.
The General Data Protection Regulation (GDPR) dramatically affects the way organizations approach data privacy, forcing them to rethink and upgrade their business processes in order to comply with GDPR. Through this systematic literature review (SLR) we examine the primary studies, identify the research carried out and the methods that are proposed, applied and integrated into a business process life cycle (as defined by BPM) to cope with this new regulation.
La recherche sur le dossier médical informatisé a eu un essor très important jusqu’à la fin du siècle dernier. Les solutions logicielles sont largement diffusées à présent et les cabinets médicaux équipés. Les données médicales sont donc éclatées entre les différents lieux de soins sans faciles possibilités de partage ou de transmission aux patients.
Emerging highly resistant bacteria are a major international threat. Currently, the status of a carrier is not automatically shared between different health care institutions. The patient is then not properly treated, and the hygiene precautions applied are not sufficient, which can lead to epidemics. Several projects, both internal to hospitals and staterun, have been developed to provide simplified access to this information and limit the risk of contamination. But they have problems that limit their impact : non-interoperability, insufficiently secure data, non-compliance with various regulations on data protection, etc. This article presents Gramchain, a tool to improve the monitoring protocols of patients with BHRe by using a permssion blockchain. This solution, designed in privacy by design, is GDPR compliant. The patients play a major role in the sharing of their data, thanks to a fine-grained access control with his authorization.
Behavioural sciences linked to new technologies are disrupting the health sector. The patient is asked for more and more data, moving forward a secret old-based relationship to a shared one : about himself, intimacy, his way of life, and habits. In that context, the process to obtain a freely given consent raises new issues.
Editorial Board
Editor in Chief
Isabelle COMYN-WATTIAU
ESSEC Business School
wattiau@essec.edu
Vice Editor in Chief
Christine VERDIER
Université Grenoble Alpes
christine.verdier@univ-grenoble-alpes.fr
Olivier TESTE
IRIT, Université de Toulouse
olivier.teste@irit.fr