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1.
Resonance graphs and a binary coding of perfect matchings of outerplane bipartite graphs
Simon Brezovnik, Niko Tratnik, Petra Žigert Pleteršek, 2023, izvirni znanstveni članek

Opis: The aim of this paper is to investigate resonance graphs of $2$-connected outerplane bipartite graphs, which include various families of molecular graphs. Firstly, we present an algorithm for a binary coding of perfect matchings of these graphs. Further, $2$-connected outerplane bipartite graphs with isomorphic resonance graphs are considered. In particular, it is shown that if two $2$-connected outerplane bipartite graphs are evenly homeomorphic, then its resonance graphs are isomorphic. Moreover, we prove that for any $2$-connected outerplane bipartite graph $G$ there exists a catacondensed even ring systems $H$ such that the resonance graphs of $G$ and $H$ are isomorphic. We conclude with the characterization of $2$-connected outerplane bipartite graphs whose resonance graphs are daisy cubes.
Ključne besede: graph theory, resonance graphs, bipartite graphs
Objavljeno v DKUM: 10.12.2024; Ogledov: 0; Prenosov: 0
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2.
Immersive technology and hand hygiene : scoping review
Dominika Muršec, Sonja Šostar-Turk, Urška Rozman, Mateja Lorber, Nino Fijačko, Dominika Vrbnjak, 2024, pregledni znanstveni članek

Opis: Background The use of immersive technology in healthcare education is on the rise, yet its impact on learner engagement, knowledge retention, and specifically in areas like hand hygiene training, remains underexplored. The aim of this scoping review was to summarize the existing studies of immersive technology in hand hygiene training of healthcare providers and health professions students. Methods A scoping review following the Levac et al. framework was conducted. The literature search was performed in databases PubMed, CINAHL Ultimate, ScienceDirect (Elsevier), Web of Science in addition to Google Scholar and ProQuest Dissertation & Theses. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Reviews (PRIMSA-ScR) guideline was used to report the results. We analysed data using tabular and descriptive summary. Results In the final analysis 11 studies from seven countries were included. Most of the studies (n = 10, 90,91%) used virtual reality in hand hygiene training of healthcare providers and health professions students. Most studies have found that immersive technology is useful in teaching hand hygiene (n = 6, 54,55%). There are some theories and concepts that support the teaching of hand hygiene with immersive technology, but most of the research is not supported by them. Theories or concepts were included in two studies (18,18%). Conclusion Immersive technology, especially virtual reality, enhances hand hygiene learning and engagement compared to traditional methods. However, most studies lack theoretical support. To advance this field, exploring immersive technology for further research and incorporating relevant theories is encouraged. Additionally, conducting a thorough cost-effectiveness analysis and establishing a robust evaluation framework, encompassing both short-term and long-term outcomes, will be beneficial for a comprehensive understanding of the impact of immersive technology in hand hygiene education.
Ključne besede: immersive technology, hand hygiene, usefulness, theory, concept
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 0
.pdf Celotno besedilo (1,52 MB)
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3.
Language-based game theory in the age of artificial intelligence
Valerio Capraro, Roberto Di Paolo, Matjaž Perc, Veronica Pizziol, 2024, pregledni znanstveni članek

Opis: Understanding human behaviour in decision problems and strategicinteractions has wide-ranging applications in economics, psychology andartificial intelligence. Game theory offers a robust foundation for this under-standing, based on the idea that individuals aim to maximize a utilityfunction. However, the exact factors influencing strategy choices remainelusive. While traditional models try to explain human behaviour as a func-tion of the outcomes of available actions, recent experimental researchreveals that linguistic content significantly impacts decision-making, thusprompting a paradigm shift from outcome-based to language-based utilityfunctions. This shift is more urgent than ever, given the advancement ofgenerative AI, which has the potential to support humans in making criticaldecisions through language-based interactions. We propose sentiment analy-sis as a fundamental tool for this shift and take an initial step by analysing61 experimental instructions from the dictator game, an economic gamecapturing the balance between self-interest and the interest of others,which is at the core of many social interactions. Our meta-analysis showsthat sentiment analysis can explain human behaviour beyond economicoutcomes. We discuss future research directions. We hope this worksets the stage for a novel game-theoretical approach that emphasizes theimportance of language in human decisions.
Ključne besede: game theory, artificial intelligence, social preferences, language-based preferences, social physics, moral behavior, trust
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 4
.pdf Celotno besedilo (487,71 KB)
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4.
Diverse strategic identities induce dynamical states in evolutionary games
Irene Sendiña-Nadal, Inmaculada Leyva, Matjaž Perc, David Papo, Marko Jusup, Zhen Wang, Juan A. Almendral, Pouya Manshour, Stefano Boccaletti, 2020, izvirni znanstveni članek

Opis: Evolutionary games provide the theoretical backbone for many aspects of our social life: from cooperation to crime, from climate inaction to imperfect vaccination and epidemic spreading, from antibiotics overuse to biodiversity preservation. An important, and so far overlooked, aspect of reality is the diverse strategic identities of individuals. While applying the same strategy to all interaction partners may be an acceptable assumption for simpler forms of life, this fails to account for the behavior of more complex living beings. For instance, we humans act differently around different people. Here we show that allowing individuals to adopt different strategies with different partners yields a very rich evolutionary dynamics, including time-dependent coexistence of cooperation and defection, systemwide shifts in the dominant strategy, and maturation in individual choices. Our results are robust to variations in network type and size, and strategy updating rules. Accounting for diverse strategic identities thus has far-reaching implications in the mathematical modeling of social games.
Ključne besede: cooperation, evolutionary game theory, social physics, collective dynamics, complex system
Objavljeno v DKUM: 20.11.2024; Ogledov: 0; Prenosov: 3
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5.
Strategically positioning cooperators can facilitate the contagion of cooperation
Guoli Yang, Matteo Cavaliere, Cheng Zhu, Matjaž Perc, 2021, izvirni znanstveni članek

Opis: The spreading of cooperation in structured population is a challenging problem which can be observed at diferent scales of social and biological organization. Generally, the problem is studied by evaluating the chances that few initial invading cooperators, randomly appearing in a network, can lead to the spreading of cooperation. In this paper we demonstrate that in many scenarios some cooperators are more infuential than others and their initial positions can facilitate the spreading of cooperation. We investigate six diferent ways to add initial cooperators in a network of cheaters, based on diferent network-based measurements. Our research reveals that strategically positioning the initial cooperators in a population of cheaters allows to decrease the number of initial cooperators necessary to successfully seed cooperation. The strategic positioning of initial cooperators can also help to shorten the time necessary for the restoration of cooperation. The optimal ways in which the initial cooperators should be placed is, however, non-trivial in that it depends on the degree of competition, the underlying game, and the network structure. Overall, our results show that, in structured populations, few cooperators, well positioned in strategically chosen places, can spread cooperation faster and easier than a large number of cooperators that are placed badly.
Ključne besede: cooperation, evolutionary game theory, social physics, collective dynamics, complex system
Objavljeno v DKUM: 22.10.2024; Ogledov: 0; Prenosov: 1
.pdf Celotno besedilo (5,68 MB)
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6.
An Analysis of Appraisal in Selected British War Speeches : m. a. thesis
Lucija Kovačič, 2024, magistrsko delo

Opis: The thesis analyses two selected war speeches by former British Prime Ministers Winston Churchill and Boris Johnson by using appraisal theory based mainly on the work of James R. Martin and Peter R. R. White. Furthermore, it deals with the history of rhetoric, political oratory and the theory of war speeches. According to the latter, politicians and leaders try to strategically persuade their audiences that armed conflict is necessary to confront the supposed or actual aggressor to preserve sovereignty. ‘Arm Yourselves, and Be Ye Men of Valour’ by Winston Churchill marks a crucial moment in British history. On May 19, 1940, during the Second World War, Churchill addressed the British nation for the first time as Prime Minister. In his speech, he briefly explained the situation at the front, tried to appease the listeners and ensure victory over the aggressor. Contrarily, Boris Johnson’s address to the Ukrainian parliament was the first address by a foreign politician after the Russian invasion of Ukraine in February 2022. Similarly, Johnson ensured a victory for the Ukrainians with the help of the Allied countries. Afterward, he focused on his beliefs and the need to maintain a close relationship with Ukraine. The thesis attempts to quantitatively analyse the interpersonal meanings in speeches according to the categories of the appraisal system, as well as establish and compare the predominant features of British war oratory.
Ključne besede: Rhetoric, Appraisal Theory, British war speeches, Winston Churchill, Boris Johnson
Objavljeno v DKUM: 03.10.2024; Ogledov: 0; Prenosov: 5
.pdf Celotno besedilo (2,84 MB)

7.
Understanding cognitive transport mode choice structures : means-ends chains as a type of second-order cybernetics
Tomaž Kolar, Iztok Kolar, 2022, izvirni znanstveni članek

Opis: Purpose: This paper aims to inform the promotion of sustainable modes of transport. For this purpose, it deploys a means-ends framework as a type of second-order cybernetics and uses it to explore cognitive transport mode choice structures. Design/methodology/approach: The empirical study relies on a purposive sample and a qualitative research methodology known as laddering. It is aimed at the identification and comparative analysis of the cognitive means-ends structures of transport users. Findings: The results reveal more positive and complex associations for the car than for public transport. Two main positive means-ends structures are identified for public transport, one related with the relaxation and the other with doing useful things while travelling. Dominant positive structures for the car are related with self-confidence, satisfaction and personal freedom. Negative means-ends structures in addition reveal important justifications and rationalizations for car use. Practical implications: Based on the identified distinct means-ends elements and structures, this study holds important implications for developing a communications strategy and policy interventions seeking to promote public transport. Originality/value: Means-ends theory is proposed as an integrative cybernetic framework for the study of stakeholders' (customers') mental models. The empirical study is the first to concurrently and comparatively examine positive and negative means-ends chains for the car and for the public transport modes.
Ključne besede: public transport, second-order cybernetics, laddering methodology, means-ends theory, private car, mental models, personal values, marketing, consumer
Objavljeno v DKUM: 27.08.2024; Ogledov: 93; Prenosov: 10
.pdf Celotno besedilo (692,92 KB)
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8.
Rewarding policies in an asymmetric game for sustainable tourism
Manuel Chica, Juan M. Hernández, Matjaž Perc, 2023, izvirni znanstveni članek

Opis: Tourism is a growing sector worldwide, but many popular destinations are facing sustainability problems due to excessive tourist flows and inappropriate behavior. In these areas, there is an urgent need to apply mechanisms to stimulate sustainable practices. This paper studies the most efficient strategy to incentivize sustainable tourism by using an asymmetric evolutionary game. We analyze the application of rewarding policies to the asymmetric game where tourists and stakeholders interact in a spatial lattice, and where tourists can also migrate. The incentives of the rewarding policies have an economic budget which can be allocated to tourists, to stakeholders, or to both sub-populations. The results show that an adaptive rewarding strategy, where the incentive budget changes over time to one or the other sub-population, is more effective than simple rewarding strategies that are exclusively focused on one sub-population. However, when the population density in the game decreases, rewarding just tourists becomes the most effective strategy.
Ključne besede: rewarding, asymmetric game, migration, evolutionary game theory, sustainability, tourism
Objavljeno v DKUM: 24.07.2024; Ogledov: 111; Prenosov: 4
.pdf Celotno besedilo (1,95 MB)
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9.
Reputation and reciprocity : review
Chengyi Xia, Juan Wang, Matjaž Perc, Zhen Wang, 2023, pregledni znanstveni članek

Opis: Reputation and reciprocity are key mechanisms for cooperation in human societies, often going hand in hand to favor prosocial behavior over selfish actions. Here we review recent researches at the interface of physics and evolutionary game theory that explored these two mechanisms. We focus on image scoring as the bearer of reputation, as well as on various types of reciprocity, including direct, indirect, and network reciprocity. We review different definitions of reputation and reciprocity dynamics, and we show how these affect the evolution of cooperation in social dilemmas. We consider first-order, second-order, as well as higherorder models in well-mixed and structured populations, and we review experimental works that support and inform the results of mathematical modeling and simulations. We also provide a synthesis of the reviewed researches along with an outlook in terms of six directions that seem particularly promising to explore in the future.
Ključne besede: pattern formation, Monte Carlo method, complex network, evolutionary game theory, cooperation, social physics
Objavljeno v DKUM: 20.06.2024; Ogledov: 154; Prenosov: 14
.pdf Celotno besedilo (4,71 MB)
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10.
Binary coding of resonance graphs of catacondensed polyhexes
Aleksander Vesel, 2023, izvirni znanstveni članek

Opis: A catacondensed polyhex H is a connected subgraph of a hexagonal system such that any edge of H lies in a hexagon of H, any triple of hexagons of H has an empty intersection and the inner dual of H is a cactus graph. A perfect matching M of a catacondensed polyhex H is relevant if every cycle of the inner dual of H admitsa vertex that corresponds to the hexagon which contributes three edges in M. The vertex set of the graph R˜(H) consists of all relevant perfect matchings of H, two perfect matchings being adjacent whenever their symmetric difference forms the edge set of a hexagon of H. A labeling that assigns in linear time a binary string to every relevant perfect matching of a catacondensed polyhex is presented. The introduced labeling defines an isometric embedding of R˜(H) into a hypercube.
Ključne besede: graphs, graph theory, resonance graphs
Objavljeno v DKUM: 07.06.2024; Ogledov: 99; Prenosov: 8
.pdf Celotno besedilo (518,69 KB)
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