- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Innovation Diffusion and Forecasting
- Complex Systems and Time Series Analysis
- Theoretical and Computational Physics
- Energy Load and Power Forecasting
- Firm Innovation and Growth
- Electric Power System Optimization
- Renewable energy and sustainable power systems
- Transportation and Mobility Innovations
- Market Dynamics and Volatility
- Environmental Education and Sustainability
- Digital Platforms and Economics
- Cognitive Science and Education Research
- Social Media and Politics
- Energy Efficiency and Management
- Inhalation and Respiratory Drug Delivery
- Misinformation and Its Impacts
- Game Theory and Applications
- Photonic and Optical Devices
- Photonic Crystals and Applications
- Electoral Systems and Political Participation
- Mental Health Research Topics
- Respiratory and Cough-Related Research
- Vaccine Coverage and Hesitancy
CY Cergy Paris Université
2023-2024
Laboratoire de Physique Théorique
2023
AGH University of Krakow
2017-2022
Wrocław University of Science and Technology
2015-2022
Medical University of Lublin
2016-2021
We investigate the q-voter model with stochastic noise arising from independence on complex networks. Using pair approximation, we provide a comprehensive, mathematical description of its behavior and derive formula for critical point. The analytical results are validated by carrying out Monte Carlo experiments. approximation prediction exhibits substantial agreement simulations, especially networks weak clustering large average degree. Nonetheless, degree close to q, some discrepancies...
Electricity price forecasting (EPF) is a branch of on the interface electrical engineering, statistics, computer science, and finance, which focuses predicting prices in wholesale electricity markets for whole spectrum horizons. These range from few minutes (real-time/intraday auctions continuous trading), through days (day-ahead auctions), to weeks, months or even years (exchange over-the-counter traded futures forward contracts). Over last 25 years, various methods computational tools have...
We introduce a new agent-based model of opinion dynamics in which binary opinions (yes/no) each agent can be measured and described regarding both pre- post-influence at two levels, public private, vis-\`a-vis the influence source. The combines ideas introduced within $q$-voter with noise, proposed by physicists, descriptive, four-dimensional social response, formulated psychologists. investigate versions same that differ only updating order: an on level is updated before private or vice...
Hysteresis has been used to understand various social phenomena, such as political polarization, the persistence of vaccination-compliance problem, or delayed response employees in a firm wage incentives. The aim this article is show insights that can be gained from using agent-based models (ABMs) study hysteresis. To build up an intuition about hysteresis, we start with illustrative example physics demonstrates how hysteresis manifests collective memory. Next, present examples psychology...
We study the q-voter model driven by stochastic noise arising from one out of two types nonconformity: anticonformity or independence. compare approaches that were inspired famous psychological controversy known as person–situation debate. relate person approach with quenched disorder and situation annealed disorder, investigate how these influence order–disorder phase transitions observed in noise. show under a differences between models independence are weaker only quantitative. In...
We modify the kinetic Ising model with Metropolis dynamics, allowing each spin to interact only $q$ spins randomly chosen from whole system, which corresponds topology of a complete graph. show that $q\ensuremath{\ge}3$ exhibits phase transition between ferromagnetic and paramagnetic phases at temperature ${T}^{*}$, linearly increases $q$. Moreover, we for $q=3$ is continuous it discontinuous larger values For $q>3$, hysteresis oscillatory behavior---expanding even shrinking odd Due...
Recent studies suggest that decomposing a series of electricity spot prices into trend-seasonal and stochastic component, modeling them independently, then combining their forecasts can yield more accurate predictions than an approach in which the same parsimonious regression or neural network-based model is calibrated to themselves. Here, we show significant accuracy gains also be achieved case parameter-rich models estimated via least absolute shrinkage selection operator (LASSO)....
We investigate a kinetic Ising model with several single-spin-flip dynamics (including Metropolis and heat bath) on quenched annealed random regular graphs. As expected, the structures all proposed algorithms reproduce same results since conditions for detailed balance Boltzmann distribution in an equilibrium are satisfied. However, graphs situation is far less clear---the network annealing disturbs moving system away from it. Consequently, distinct lead to different steady states. show that...
We extend a recently developed agent-based model of innovation diffusion by linking the opinions potential consumers with their market behavior via concept reservation prices.Through dynamic mechanism that takes into account social influence, agents in our can both increase or decrease product appraisal.Considering complete graph network structures and using mean-field treatment we find exhibit plethora scenarios, observed empirically but not attainable within classical Bass model.We also...
In pediatrics, acceptability has emerged as a key factor for compliance, and consequently treatment safety efficacy. Polyvalent mechanical bacterial lysate (PMBL) in 50-mg sublingual tablets is indicated children adults the prophylaxis of recurrent respiratory tract infections. This medication may be prescribed over 3 years age; appropriateness this formulation should thus demonstrated amongst young children. Using multivariate approach integrating many aspects acceptability, standardized...
Two main procedures characterize the way in which social actors evaluate qualities of options decision-making processes: they either seek to their intrinsic (individual learners), or rely on opinion others (social learners). For latter, experiments have suggested that mathematical form probability adopting an option, called , is symmetric adoption rate. However, literature includes models where learners employ nonsymmetric conformity functions. We generalize a particular case studied...
Empirical studies suggest that word-of-mouth strongly influences the innovation diffusion process and is responsible for "S" shape of adoption curve.However, it not clear how affects demand curves innovative products strategic decisions producers.Using an agent-based model diffusion, which links consumer opinions with reservation prices, we show a relatively strong effect can lead to creation two separated price-quantity regimes, nonlinear transition between them.A small shift product's...
We study an adaptive network model driven by a nonlinear voter dynamics. Each node in the represents and can be one of two states that correspond to different opinions shared voters. A disagreeing with its neighbor's opinion may either adopt it or rewire link another randomly chosen any opinion. The system is studied means pair approximation which distinction between average degrees nodes made. This approach allows us identify dynamically active phases: symmetric asymmetric one. phase,...
We compare two versions of the nonlinear q-voter model: original one, with annealed randomness, and modified quenched randomness. In model, each voter changes its opinion a certain probability ϵ if group influence is not unanimous. contrast, version introduces types voters that act in deterministic way case disagreement group: fraction always change their current opinion, whereas rest them maintain it. Although both concepts randomness lead to same average number system on microscopic level,...
Using two models of opinion dynamics, the q-voter model with independence and anticonformity, we discuss how change disorder from annealed to quenched affects phase transitions on networks. To derive diagrams networks, develop pair approximation for versions models. This formalism can be also applied other dynamics similar kind. The results indicate that such a eliminates all discontinuous broadens ordered phases. We show although types lead same result in anticonformity at mean-field level,...
Motivated by the empirical study that identifies a correlation between particular social responses and different interaction ranges, we q-voter model with various combinations of local global sources conformity anticonformity. The models are investigated means pair approximation Monte Carlo simulations on Watts–Strogatz Barabási–Albert networks. We show within anticonformity, agreement in system is most difficult one to achieve role network structure significant. Interestingly, swapped...
Abstract Aim. The aim of the study was to investigate parents’ knowledge and attitudes towards compulsory immunization their children. Material methods. research conducted with survey questionnaire among 110 randomly chosen parents aged 18-40 whose infants were inpatients at University Children’s Hospital in Lublin. Results. revealed that poorly informed about age first vaccination infant, recommended vaccines, combined contraindications for adverse reactions following immunization. More...
Przedstawiono dowody skuteczności hipertonicznych roztworów soli w przeziębieniu, alergicznym nieżycie nosa, błony śluzowej nosa i zatok przynosowych, zapaleniu oskrzelików, mukowiscydozie rozstrzeniach oskrzeli u dzieci dorosłych oparciu o przeglądy systematyczne z metaanalizą badania publikowane czasopismach posiadających impact factor.