Article
Multidisciplinary Sciences
Marcelo A. Pires, Nuno Crokidakis
Summary: In this work, a model of opinion dynamics is studied, where agents can become inactive and drop out from the discussion. The existence of two distinct non-equilibrium phase transitions and three phases (ordered, disordered, and absorbing) is shown through analytical and numerical results. The critical value above which the system is in the absorbing phase independently of other parameters is determined, and a distinct critical behavior for transitions among different phases is observed.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Jia Chen, Gang Kou, Haomin Wang, Yiyi Zhao
Summary: In social networks, the influence of advertisement opinion leaders plays a crucial role in shaping followers' opinions. The study reveals that advertisement influence has a dual effect on opinion evolution, and the probability of information transmission by opinion leaders significantly impacts collective opinion evolution.
INFORMATION FUSION
(2021)
Article
Mathematics, Applied
Roni Muslim, M. Jauhar Kholili, Ahmad R. T. Nugraha
Summary: We investigate the opinion evolution of outflow dynamics using the Sznajd model on a complete graph incorporating contrarian and independence behaviors. Our simulation demonstrates that all scenarios undergo a second-order phase transition, with the critical point decreasing exponentially as the contrarian and flexibility factors increase. Additionally, we observe that the critical point of the three-one scenario is smaller than that of the two-two scenario. Surprisingly, scenarios involving contrarians have a higher probability of achieving a consensus compared to scenarios involving independence. Our findings indicate that the model belongs to the same universality class as the mean-field Ising model.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Aghababaei, Maria Koliou
Summary: In this paper, a comprehensive agent-based model is developed for community resilience planning. The model incorporates agents representing businesses, healthcare systems, and people, along with agents for education systems, utilities, and households, to simulate the Centerville testbed subjected to tornado hazards. The model introduces resilience measures and evaluates various strategies for pre-disaster preparedness. The results demonstrate the capability of the model to capture the complex behaviors and dynamics of interdependent systems within a community, as well as assess the impact of disruptions and mitigation strategies for community planning.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Jiefan Zhu, Yiping Yao, Wenjie Tang, Haoming Zhang
Summary: In opinion dynamics, individuals may choose to remain silent or conceal their true opinions due to inconsistencies between the surrounding discourse and personal views, which affects the evolution of public opinion. Existing models often do not consider this attitude-hiding phenomenon. This study introduces a model based on online social networks that offers a better explanation of the impact of individual behavior on the evolution of public opinion.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
G. Jordan Maclay, Moody Ahmad
Summary: The model uses vector representation of agents' attributes and a mathematical force vector model to predict interactions among agents. The force between agents is determined by the similarity of attributes, with positive, zero, or negative forces depending on the angle between attribute vectors. Agents with similar attributes tend to form groups, and the interactions are influenced by an Attribute Influence Bound.
Article
Physics, Multidisciplinary
M. Libersky, R. D. McKenzie, D. M. Silevitch, P. C. E. Stamp, T. F. Rosenbaum
Summary: In this study, low-energy excitation modes of the quantum Ising magnet LiHoF4 were directly measured using microwave spectroscopy. It was found that a set of collective electronuclear modes exist, where the spin-1/2 Ising electronic spins hybridize with spin-7/2 Ho nuclear spins. The lowest-lying electronuclear mode softens near the quantum critical point, but this softening is rapidly quenched by a longitudinal magnetic field. Similar electronuclear structures are expected to be present in other spin-based quantum Ising systems.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Fluids & Plasmas
Lucia Pedraza, Sebastian Pinto, Juan Pablo Pinasco, Pablo Balenzuela
Summary: This study explores complex problems of social interaction within the framework of agent-based models, specifically focusing on n-dimensional opinion space. The findings reveal how a classical multidimensional opinion model can lead to a set of master equations based on vector similarities between agents, providing accurate predictions for similarity distributions in sparse topologies and physical links. The analytical results align well with simulations and offer improved approximations with higher mean degrees in the system.
Article
Physics, Multidisciplinary
Jaume Ojer, Michele Starnini, Romualdo Pastor-Satorras
Summary: Understanding opinion depolarization dynamics is vital for reducing political divide. We propose a social compass model for polar space representation of interdependent topics, where extreme zealots are less likely to change their minds. Our theoretical framework is validated through extensive numerical simulations and using initial opinions from the American National Election Studies, demonstrating explosive depolarization.
PHYSICAL REVIEW LETTERS
(2023)
Article
Multidisciplinary Sciences
Mateus F. B. Granha, Andre L. M. Vilela, Chao Wang, Kenric P. Nelson, H. Eugene Stanley
Summary: The study investigates financial market dynamics by introducing a heterogeneous agent-based opinion formation model. The researchers organize individuals in the financial market based on their trading strategy, distinguishing between noise traders and fundamentalists. The study finds that the local majority opinion influences the market behavior of noise traders, while the overall market behavior influences the decisions of fundamentalist agents. The model exhibits key qualitative and quantitative features of real-world markets, including the distribution of logarithmic returns, clustered volatility, and long-term return correlations.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Mateus F. B. Granha, Andre L. M. Vilela, Chao Wang, Kenric P. Nelson, H. Eugene Stanley
Summary: We investigate financial market dynamics using a heterogeneous agent-based opinion formation model. The model organizes individuals in the market based on their trading strategies and considers the interactions between noise traders and fundamentalists. Results show that the model exhibits key features of real-world markets, such as fat-tailed distribution of logarithmic returns, clustered volatility, and long-term return correlation.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Automation & Control Systems
Paolo Bolzern, Patrizio Colaneri, Giuseppe De Nicolao
Summary: This paper extends the theory of Markovian multi-agent opinion networks to the situation of multiple opinions. A canonical representation of multi-state Markov chains is defined to describe the behavior of non-interacting agents in terms of their prejudice. The time evolution of opinion shares in a social network is characterized in both transient and steady-state, providing insights into the sensitivity of network opinion to agents' prejudices.
Article
Mathematics, Interdisciplinary Applications
Shuyang Jiang, Hu Wang
Summary: The study constructs an opinion evolution model with agent emotional characteristics and credibility, finding that initial opinion distribution, network structure, and opinion leader have important impacts on group polarization formation; group polarization is easier to form in small-world networks and BA scale-free networks.
Article
Physics, Multidisciplinary
Amir Burshtein, Roman Kuzmin, Vladimir E. Manucharyan, Moshe Goldstein
Summary: Recent advances in circuit quantum electrodynamics have enabled the observation of inelastic collisions between single microwave photons and instantons, offering insights for research in other quantum field theoretical contexts. The study also indicates that the inelastic scattering probability can significantly exceed the impact of conventional Josephson quartic anharmonicity and mach order-unity values.
PHYSICAL REVIEW LETTERS
(2021)
Article
Optics
Liam Bond, Lisa Lenstra, Rene Gerritsma, Arghavan Safavi-Naini
Summary: This study investigates the feasibility of using optical tweezers to control interactions in trapped-ion quantum simulators in the presence of experimental imperfections. The research finds that the effects of micromotion can be easily overcome through the optimization of tweezer patterns, and additional tuning flexibility from local stress on spin-spin interactions is negligible.
Article
Mathematics, Applied
Arkadiusz Jedrzejewski, Katarzyna Sznajd-Weron
Article
Physics, Multidisciplinary
Angelika Abramiuk, Katarzyna Sznajd-Weron
Article
Mathematics, Applied
Arkadiusz Jedrzejewski, Bartlomiej Nowak, Angelika Abramiuk, Katarzyna Sznajd-Weron
Article
Multidisciplinary Sciences
Bartlomiej Nowak, Bartosz Ston, Katarzyna Sznajd-Weron
Summary: This study introduces a generalized version of the noisy q-voter model, where voters can be in different states and two types of disorder (annealed and quenched) are considered. The model displays discontinuous phase transitions for any q>1 when the number of states is greater than 2.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Interdisciplinary Applications
Tomasz Weron, Katarzyna Sznajd-Weron
Summary: This study extends the research on the Sznajd model conducted by Weron and Sznajd-Weron (2021) by adding parameters and introducing agent movement to further generalize the model. Through Monte Carlo simulations, we demonstrate that the intriguing results, summarized as 'Better disagree with your neighbor', are also valid for the model with movement.
JOURNAL OF COMPUTATIONAL SCIENCE
(2022)
Article
Physics, Multidisciplinary
Maciej Doniec, Arkadiusz Lipiecki, Katarzyna Sznajd-Weron
Summary: This work addresses the influence of group size on the emergence of collective social phenomena such as consensus, polarization, and social hysteresis. The study examines the noisy q-voter model with bounded confidence, focusing on how the size of the influence group affects the behavior of the model. The findings reveal that different collective phenomena occur depending on the size of the influence group, with social hysteresis observed for all values of q > 1. Additionally, smaller influence groups can lead to disagreement, polarization, and dominance of centrists, while larger groups are necessary for the dominance of extremists. The study also highlights the significant impact of minor rule changes on the macroscopic behavior of the model.
Article
Mathematics, Interdisciplinary Applications
Arkadiusz Lipiecki, Katarzyna Sznajd-Weron
Summary: Engaging with dissenting views and strategic anticonformity can benefit organizations, but caution is needed to prevent social polarization.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Psychology, Multidisciplinary
Katarzyna Sznajd-Weron, Arkadiusz Jedrzejewski, Barbara Kaminska
Summary: This article explores the applications of hysteresis in various fields and the insights gained from using agent-based models to study hysteresis. The article demonstrates how hysteresis can be observed in agent-based models through examples from physics, psychology, and social systems, and explains the factors contributing to hysteresis. Finally, it clarifies the relationship between hysteresis and other related concepts and discusses the advantages of agent-based models.
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Michal Jarema, Katarzyna Sznajd-Weron
Summary: This study examines an agent-based model of opinion dynamics, where an agent's private opinion may differ from their public expression. The model is based on the concept of total dissonance function and its behavior is influenced by social temperature. The study focuses on parental and peer influence on adolescents and finds that as the temperature increases, there is a significant transition between states with and without a discrepancy between private and public opinions. This has important implications for developing marketing strategies.
COMPUTATIONAL SCIENCE, ICCS 2022, PT II
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Arkadiusz Jedrzejewski, Katarzyna Sznajd-Weron, Jakub Pawlowski, Anna Kowalska-Pyzalska
Summary: We developed an agent-based model calibrated with empirical data to investigate the purchasing decisions of consumers between three alternative fuel vehicles. Through Monte Carlo simulations, we presented possible scenarios for the alternative fuel vehicle market based on different marketing strategies.
COMPUTATIONAL SCIENCE, ICCS 2022, PT II
(2022)
Article
Physics, Fluids & Plasmas
Bartlomiej Nowak, Katarzyna Sznajd-Weron
Summary: This paper investigates discontinuous phase transitions and their relationship to social hysteresis and critical mass. By replacing time-varying disorder with static disorder, a change from continuous to discontinuous phase transition can be observed.
Article
Physics, Fluids & Plasmas
Arkadiusz Jedrzejewski, Katarzyna Sznajd-Weron
Summary: By using two models of opinion dynamics, this study explores the impact of the change of disorder from annealed to quenched on phase transitions in networks. The results reveal that such a change of disorder eliminates all discontinuous phase transitions and broadens ordered phases. Moreover, the annealed and quenched types of disorder lead to distinct phase diagrams on networks.
Article
Physics, Fluids & Plasmas
Bartlomiej Nowak, Michel Grabisch, Katarzyna Sznajd-Weron
Summary: This study investigates an asymmetric version of the threshold model of binary decision-making with anticonformity under an asynchronous update mode that mimics continuous time. The model is analyzed on a complete graph using three different approaches: mean-field approximation, Monte Carlo simulation, and the Markov chain approach. The results from all three approaches are found to be the same for sufficiently large systems. Two cases are considered: homogeneous, where all agents have the same tolerance threshold, and heterogeneous, where thresholds are given by a beta distribution parametrized by two positive shape parameters. Particularly interesting behaviors, such as social hysteresis and critical mass, are observed only for parameter values that match the shape of the distribution observed in reality.
Article
Multidisciplinary Sciences
Angelika Abramiuk-Szurlej, Arkadiusz Lipiecki, Jakub Pawlowski, Katarzyna Sznajd-Weron
Summary: A study was conducted on the binary q-voter model with generalized anticonformity on random Erdos-Renyi graphs, showing that discontinuous phase transitions can survive even for relatively small values of average node degree. The pair approximation results aligned with Monte Carlo simulations, but indicated qualitatively wrong results when q(a) >= q(c) - 1, suggesting that discontinuous phase transitions were not observed in simulations or in the mean-field approach. Additionally, a power law relationship was found between the spinodals obtained within the pair approximation and the mean-field approach, as long as the pair approximation correctly indicated the type of phase transition.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Fluids & Plasmas
Bartlomiej Nowak, Katarzyna Sznajd-Weron