71. Methodological framework for studying industrial path development : social fields analysisKseniia Gromova, 2025, published scientific conference contribution abstract Abstract: The contribution presents the methodological framework for an ongoing doctoral study that explores why some industrial localities thrive while others lag behind in their development. Applying the Social-Fields-Approach (SOFIA), the research regards industrial localities as social fields influenced by three main social forces: institutions, social networks, and cognitive frames. It examines how these forces (and their combined impact) enable or hinder new path creation within the selected localities during the latter half of the 20th century. A comparative multiple case study will be conducted on three distinct industrial localities – Novo mesto (Slovenia), Pernik (Bulgaria), Aalborg (Denmark) – selected via purposive sampling as localities with varying levels of innovation performance. Data collection will involve two rounds of semi-structured interviews with key stakeholders from business, academia, and policy-making areas in each industrial locality, as well as with experts in local regional development. The first round aims to identify the main periods and turning points within the developmental trajectory of each industrial locality since the 1950s; the second round will consider the impact of the three social forces (institutions, cognitive frames, social networks) within each period and turning point while shaping the path-creation process as well as the success of a certain locality. The research contributes to the existing theory and practice in regional studies by offering new insights into the reasons behind the uneven geography of industrial development through the new application of the SOFIA conceptual framework
Keywords: Social-Fields-Approach (SOFIA), industrial locality, path-creation, comparative case study, regional development
Published in ReVIS: 22.01.2026; Views: 151; Downloads: 3
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72. Loneliness, reflexivity, and AI in youthTea Golob, Matej Makarovič, Romina Gurashi, 2025, published scientific conference contribution abstract Abstract: In the presentation, we address the issue of loneliness in relation to the increasingly all-encompassing use of the AI and the role reflexivity is playing in this regard. Based on previous research we presume that reflexivity significantly affects how one constitutes the world, engages in social relationship, navigates the media contents, and also engages in purposive action related to a more sustainable future. Based on that, we hypothesise that those who are highly reflexive tend to better cope with the potentially negative effects of AI – maintaining healthier social relations and personal empowerment. Research has been conducted on a national representative sample in Slovenia enabling a comparison between the older generations and the younger ones that have experienced direct and immediate socialization in a technologically mediated world, increasingly supported by forms of Artificial Intelligence
Keywords: loneliness, reflexivity, AI in youth
Published in ReVIS: 22.01.2026; Views: 140; Downloads: 1
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73. Impact of filtering policy changes on Wikipedia pageview metricsSrdjan Škrbić, Zoran Levnajić, 2025, published scientific conference contribution Abstract: Daily number of visits to any Wikipedia article can be obtained very simply. This research-friendly policy enabled the scientific community to study the nature and dynamics of global collective attention. However, Wikimedia Foundation has recently made two major changes in the way article visits (pageviews or viewcounts) are calculated and reported. The first change occurred in December 2019 and was related to bot traffic filtering. The second change took place in May 2020 in order to advance the detection and categorization of automated traffic. These changes improve the quality of pageview time-series by making them more stationary and reducing anomalies. Yet they lead to discontinuities that impact downstream tasks. The goal of this paper is to elucidate these changes and discuss their implications for researchers.
Keywords: Wikipedia, pageview metrics, pageview time-series
Published in ReVIS: 22.01.2026; Views: 140; Downloads: 1
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74. How should we benchmark community detection algorithms in complex networks?Robi Pritržnik, 2025, published scientific conference contribution Abstract: In this article we discuss how should we benchmark community detection algorithms in complex networks. We compare the community detection algorithms Louvain, Leiden, Label Propagation, Fast Label Propagation, Greedy modularity, Infomap, Walktrap and Girvan-Newman on complex networks of the Zachary karate club, Synthetic Network, a social network from X (Twitter), a neuroscience network, a email network and a patent citation network in the USA. We find that the speed of algorithms depends on the size and structure of networks. It turns out that among the considered algorithms for community detection in large networks, the Leiden algorithm is the most suitable, while on average the Fast Label Propagation algorithm performed the fastest in all cases. It is shown that on LFR benchmark network, algorithms successfully detect the same number of communities, however when we apply the same algorithms on complex networks the results are variable based on specific algorithm.
Keywords: community detection, networks and graphs, network analysis, complex networks
Published in ReVIS: 22.01.2026; Views: 168; Downloads: 6
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75. Global electric circuit as a driver of space weather impacts : cross-sectoral risks for energy and digital infrastructures with a Spain blackout case studyValerij Grašič, Biljana Mileva Boshkoska, 2025, published scientific conference contribution Abstract: Space weather is usually evaluated through large-scale geomagnetic disturbances, particularly coronal mass ejections (CMEs) and storm indices such as Kp and Dst. However, disruptive events can also arise when these parameters remain quiet, suggesting additional mechanisms. This paper introduces the Global Electric Circuit (GEC) as a framework to explain such cases, showing how changes in ionospheric conductivity, total electron content (TEC), and radiation flux can influence terrestrial infrastructures. The first contribution is to highlight the GEC as a driver of space weather impacts, extending existing models beyond CME and geomagnetic indices. The second is to develop a cross-sectoral risk perspective that traces how GEC-related disturbances affect both energy and digital infrastructures, creating cascading vulnerabilities. The approach is evaluated using the 2025 Spain blackout, when widespread disruptions occurred despite the absence of major CME activity. Observational data show anomalies in ionospheric and atmospheric conditions consistent with GEC-driven processes. These disturbances coincided with fluctuations in photovoltaic output, grid instability, and communication interruptions. The paper also proposes methodological guidelines, recommending multi-scale analysis windows (4 hours, 16 hours, 3–7 days) and the integration of multi-source datasets. These include upstream satellite observations at the L1 point, GNSS-derived TEC and ionosonde data, atmospheric reanalysis and pressure fields, ground magnetometer networks, and infrastructure-level energy and digital data. The findings demonstrate that incorporating GEC into space weather studies and explicitly linking energy and digital sectors provides a stronger basis for both scientific research and practical resilience planning.
Keywords: smart city, space weather, Global Electric Circuit (GEC), energy sector, digital sector, Spain blackout, resilience
Published in ReVIS: 22.01.2026; Views: 118; Downloads: 2
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76. Following Quantum Innovation Flows : the feedback loop between strategic timing and patent activity (2014–2023)Tamara Besednjak Valič, Karin Dobravc Škof, 2025, published scientific conference contribution abstract Abstract: Quantum technologies are central to the global innovation race. While national strategies are designed to secure technological sovereignty, the relationship between strategic timing and actual innovation output is complex. However, the fundamental question remains: does policy actively drive the innovation cycle or merely follow it? This study addresses this relationship by focusing on the temporal alignment between the release of national quantum strategies and the resulting patent application volume across countries (2014–2023). Utilizing PATSTAT data, with a focus on the patent application date, we establish that the global application peak occurred in 2022. This finding reveals a significant temporal paradox: while early movers like the US (National Strategic Overview for Quantum Information Systems and Related Documents, 2018) and the Netherlands (National Agenda for Quantum Technology, 2019) acted proactively, the majority of nations (including Germany, France, and Japan) released their strategies in 2023—after the innovation peak had already been reached. We further analyse the China situation (leading patent volume without a publicly available strategy) and the Netherlands paradox (early strategy despite low domestic patent count). The study's primary quantitative measure is the lag time between a strategy's publication date and the subsequent peak in a nation's domestic quantum patent applications. By analysing this temporal gap, the research provides empirical evidence to validate the effectiveness of strategic foresight versus reactive policymaking
Keywords: quantum technologies, national strategies, innovation flows, patent activity
Published in ReVIS: 22.01.2026; Views: 99; Downloads: 2
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77. Extending the privacy by design model to address NIS 2 cybersecurity requirementsMatjaž Drev, 2025, published scientific conference contribution Abstract: Organizations are increasingly confronted with regulatory requirements that encompass both personal data protection and cybersecurity. While the GDPR establishes a clear framework for processing personal data, the NIS 2 Directive introduces additional obligations aimed at strengthening cybersecurity resilience. Addressing these combined demands represents a complex legal, organizational, and technical challenge. One way forward is the development of integrated audit frameworks that support systematic compliance assessment across both domains. Building on prior work in which the original privacy by design (PbD) model was developed and empirically tested, this paper proposes an extended model that incorporates NIS 2 requirements. The extended framework aspires to provide a robust and comprehensive instrument for identifying compliance gaps and supporting organizations in adapting more effectively to an increasingly demanding regulatory landscape.
Keywords: privacy by design, conceptual model, cybersecurity, NIS 2
Published in ReVIS: 22.01.2026; Views: 84; Downloads: 1
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78. Evolution of topics in Slovenian scienceBorut Lužar, Nika Robida, 2025, published scientific conference contribution abstract Abstract: We present an analysis of the development of Slovenian science from 1975 to 2024. Based on the keywords extracted from scientific articles published by Slovenian authors, we created a keyword co-occurrence network (KCN) for each five-year period and, using community detection, detected topics based on communities of keywords. We assigned a disciplinary profile to each community by aggregating the scientific fields of its authors (using Universal Decimal Classification (UDC)). This enabled us to compare topic development across nine primary UDC disciplines. The resulting timeline highlights persistent, emerging, declining, and branching topics, and allows us to explore potential drivers of topic growth, transformation, or disappearance, revealing some notable differences between scientific disciplines.
Keywords: Slovenian science, topic evolution, keyword co-occurrence network
Published in ReVIS: 22.01.2026; Views: 98; Downloads: 1
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79. Establishing a data-driven feedback loop for the optimization of production processesAndrej Dobrovoljc, 2025, published scientific conference contribution Abstract: This paper presents the design and implementation of a digital feedback loop for optimizing material consumption in a manufacturing environment. The study focuses on small and medium-sized enterprises (SMEs) that often lack access to costly Manufacturing Execution Systems (MES). We demonstrate how commonly available tools such as Microsoft Excel, Power Query, and open-source solutions can be combined. We created a functional feedback mechanism linking ERP data, CNC machine outputs, and production logs. The proposed solution was developed and tested in a woodworking company producing custom furniture components. By integrating heterogeneous data sources, we established a real-time overview of material usage and waste, reducing manual work and increasing process transparency. The study highlights the role of simple Extract Transform Load (ETL) tools in supporting smart manufacturing, data-driven decision-making, and continuous process improvement.
Keywords: digital feedback loop, smart manufacturing, power query, ERP integration, data transformation, material optimization, ETL process
Published in ReVIS: 22.01.2026; Views: 97; Downloads: 1
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80. Cybersecurity auditingBoštjan Delak, Matjaž Drev, 2025, published scientific conference contribution Abstract: Cybersecurity is becoming increasingly important for any organization. Nowadays, most management is concerned about cybersecurity. It is especially a big concern in the European Union, as the NIS2 directive foresees their responsibility and effective risk management. Cybersecurity audits are essential for assessing the effectiveness of an organization's security measures, identifying vulnerabilities, and ensuring compliance with industry standards and regulations. By conducting regular cybersecurity audits, organizations can demonstrate to their customers that their security is being taken seriously. As cybersecurity audit reports are mostly classified as confidential, they are not easily accessible on the World Wide Web. Exceptions are audit reports carried out by the Courts of Audits of each country. The article presents new approaches for auditing with the help of artificial intelligence and auditing cyber risks. Based on some cybersecurity audit reports that are publicly available online, it verifies the application of these approaches
Keywords: cybersecurity, cybersecurity audit, auditors, audit reports
Published in ReVIS: 22.01.2026; Views: 77; Downloads: 1
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