Physica A: Statistical Mechanics and its Applications最新文献_第7页

Epidemic dynamics in physical-information-social multilayer networks 物理-信息-社会多层网络中的流行病动态

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-04 DOI: 10.1016/j.physa.2025.130944

Mengshou Wang , Liangrong Peng , Baoguo Jia , Liu Hong

{"title":"Epidemic dynamics in physical-information-social multilayer networks","authors":"Mengshou Wang , Liangrong Peng , Baoguo Jia , Liu Hong","doi":"10.1016/j.physa.2025.130944","DOIUrl":"10.1016/j.physa.2025.130944","url":null,"abstract":"<div><div>During epidemic outbreaks, information dissemination helps to improve individual infection prevention, while social institutions influence the transmission through measures like government interventions, media campaigns, and hospital resource allocation. Here we develop a tripartite physical-information-social epidemic model and derive the corresponding kinetic equations in different scales by using the Microscopic Markov Chain Approach and mean-field approximations. The proposed model enables adaptive social attention allocation, achieving a lower epidemic size at steady state with limited containment resources compared to traditional static interventions. The basic reproduction number and epidemic thresholds are explicitly derived by the next generation matrix method. Our results reveal that (1) active information exchange curbs disease transmission, (2) stronger governmental influence on media and hospitals decreases disease transmission, particularly in hospital nodes, and (3) time-delayed feedback alters the peak of epidemic size while leaving the steady state unchanged. In fixed community structures, groups with frequent physical contact but weak information access (e.g., students) exhibit higher infection rates. For diverse communities, weaker physical layer heterogeneity but stronger information layer heterogeneity inhibits epidemic outbreaks. These findings offer valuable insights for epidemic prevention and control strategies.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"678 ","pages":"Article 130944"},"PeriodicalIF":3.1,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Social contagion on hypergraphs with role-differentiated higher-order interactions 角色分化高阶互动超图的社会传染

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-03 DOI: 10.1016/j.physa.2025.130947

Juntao Lu , Jianlin Zhang , Qiang Xue , Siqi Zhao , Yanni Liu , Longqing Cui , Fanyuan Meng

{"title":"Social contagion on hypergraphs with role-differentiated higher-order interactions","authors":"Juntao Lu , Jianlin Zhang , Qiang Xue , Siqi Zhao , Yanni Liu , Longqing Cui , Fanyuan Meng","doi":"10.1016/j.physa.2025.130947","DOIUrl":"10.1016/j.physa.2025.130947","url":null,"abstract":"<div><div>Existing research on complex social contagion frequently neglects the role differentiation inherent in higher-order structures. To address this gap, we introduce a hypergraph-based contagion model that explicitly distinguishes between leader and follower roles within hyperedges (groups). The model incorporates key parameters: activation threshold, follower influence weight, and symmetric and asymmetric group sizes. We derive a self-consistency equation characterizing the cascade size and identify the critical seed sizes associated with first-order phase transitions. Our results demonstrate that increasing follower influence enhances contagion dynamics through peer reinforcement, facilitating large-scale cascades initiated by smaller initial seeds. Crucially, configurations involving smaller symmetric leader-follower group sizes reduce the critical seed size. Furthermore, distributions of leader and follower group sizes following Poisson distributions generally lower the critical seed size compared to fixed-size configurations, attributable to increased structural heterogeneity. These findings provide a basic understanding of threshold-driven contagion in role-differentiated, higher-order systems and provide an analytical framework for modeling diffusion processes in domains such as education, marketing, and political mobilization.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"678 ","pages":"Article 130947"},"PeriodicalIF":3.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time series forecasting enhanced by Lyapunov exponent via attention mechanism 李雅普诺夫指数通过注意机制增强时间序列预测

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-03 DOI: 10.1016/j.physa.2025.130948

Reneé Rodrigues Lima, Jerson Leite Alves, Francisco Alves dos Santos, Davi Wanderley Misturini, Joao B. Florindo

{"title":"Time series forecasting enhanced by Lyapunov exponent via attention mechanism","authors":"Reneé Rodrigues Lima, Jerson Leite Alves, Francisco Alves dos Santos, Davi Wanderley Misturini, Joao B. Florindo","doi":"10.1016/j.physa.2025.130948","DOIUrl":"10.1016/j.physa.2025.130948","url":null,"abstract":"<div><div>This paper proposes a novel time series forecasting approach that integrates chaos theory and deep learning. By computing local Lyapunov exponents over a sliding window, we extract the dynamic structure of the time series and inject this information into deep models via a self-attention mechanism. This enriched representation enhances the model’s ability to capture nonlinear and “<em>quasi</em>-chaotic” patterns. We apply our method to three deep learning architectures (N-BEATS, LSTM, and GRU), comparing their standard and chaotic-aware versions across seven datasets—one synthetic and six real-world datasets from finance, energy, traffic, and climate domains. Experimental results show that our approach improves forecasting accuracy by an average of 28.0% over traditional deep learning models and 30.8% compared to state-of-the-art methods, according to MAE, RMSE, and MAPE metrics. These findings highlight the potential of combining Lyapunov-based local dynamics and attention mechanisms for robust and interpretable forecasting, especially in complex time series with nonlinear behaviors.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"678 ","pages":"Article 130948"},"PeriodicalIF":3.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling Spatial Public Goods Games with Differentiated Strategies and Asymmetric Payoff Allocation 基于差异化策略和非对称收益分配的空间公共物品博弈模型

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-03 DOI: 10.1016/j.physa.2025.130955

Xiaonan Wang , Gang Lu , Peng Guo

{"title":"Modeling Spatial Public Goods Games with Differentiated Strategies and Asymmetric Payoff Allocation","authors":"Xiaonan Wang , Gang Lu , Peng Guo","doi":"10.1016/j.physa.2025.130955","DOIUrl":"10.1016/j.physa.2025.130955","url":null,"abstract":"<div><div>Social dilemmas often arise in multiplayer settings where individuals must balance personal interests against collective gains. The public goods game (PGG), a canonical model for studying such dilemmas, typically assumes homogeneous strategies and uniform payoff allocation, oversimplifying real-world cooperative behavior. This study introduces a spatial PGG model on lattice networks that incorporates differentiated strategies, where individuals adopt distinct strategies toward different neighbors, and asymmetric payoff allocation mechanisms. Players are categorized as pure cooperators, pure defectors, or mixed strategy players, and payoffs are distributed unevenly based on strategic differentiation. Through extensive simulations, we analyze how these features influence cooperation dynamics. Results show that differentiated strategies significantly lower the threshold for cooperation to emerge, particularly when combined with asymmetric investment. Even under low enhancement factors, such differentiation fosters earlier and more widespread cooperative behavior. Asymmetric payoff allocation amplifies this effect by incentivizing cooperation and accelerating the decline of defection. Mixed strategy players act as transitional agents, smoothing the shift from defection to stable cooperation through adaptive payoff responses. Further robustness checks from the perspectives of network size, network structure, and initial cooperation rate confirm the robustness of these dynamics, thereby highlighting the general applicability of the model. These findings offer valuable insights for designing more effective cooperation-promoting policies and incentive structures in complex social systems.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"678 ","pages":"Article 130955"},"PeriodicalIF":3.1,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Random features Hopfield networks generalize retrieval to previously unseen examples Hopfield网络将检索推广到以前未见过的例子

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-03 DOI: 10.1016/j.physa.2025.130946

Silvio Kalaj , Clarissa Lauditi , Gabriele Perugini , Carlo Lucibello , Enrico M. Malatesta , Matteo Negri

引用次数: 0

Numerical realization of a two-dimensional potential energy surface with randomly distributed Gaussian roughness 具有随机分布高斯粗糙度的二维势能面数值实现

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-09-02 DOI: 10.1016/j.physa.2025.130950

Pengchen Zhao , Chunyang Wang , Zengxuan Zhao , Junhua Li , Joelous Malamula Nyasulu , Mushtaq Rana Imran , Chunlei Xia

引用次数: 0

Exploring the variational method for thermodynamic models 探索热力学模型的变分方法

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-08-30 DOI: 10.1016/j.physa.2025.130941

O. Urbański

{"title":"Exploring the variational method for thermodynamic models","authors":"O. Urbański","doi":"10.1016/j.physa.2025.130941","DOIUrl":"10.1016/j.physa.2025.130941","url":null,"abstract":"<div><div>This work explores the possibilities of the Gibbs–Bogoliubov–Feynman variational method, aiming at finding room for designing various drawing schemes. For example, mean-field approximation can be viewed as a result of using site-independent drawing in the variational method. In subsequent sections, progressively complex drawing procedures are presented, starting from site-independent drawing in the <span><math><mi>k</mi></math></span>-space. In the next, each site in the real-space is again drawn independently, which is followed by an adjustable linear transformation <span><math><mi>T</mi></math></span>. Both approaches are presented on the discrete Ginzburg–Landau model. Subsequently, a percolation-based procedure for the Ising model is developed. It shows a general way of handling multi-stage drawing schemes. Critical inverse temperatures are obtained in two and three dimensions with a few percent discrepancy from exact values. Finally, it is shown that results in the style of the real-space renormalization group can be achieved by suitable fractal-like drawing. This facilitates a new straight-forward approach to establishing the renormalization transformation, but primarily provides a new view on the method. While the first two approaches are capable of capturing long-range correlations, they are not able to reproduce the critical behavior accurately. The main findings of the paper are developing the method of handling intricate drawing procedures and identifying the need of fractality in these schemes to grasp the critical behavior.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"678 ","pages":"Article 130941"},"PeriodicalIF":3.1,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Diffusion in a Prandtl-Tomlinson potential: Analytical and Monte Carlo results 普朗特-汤姆林森势中的扩散：解析和蒙特卡罗结果

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-08-30 DOI: 10.1016/j.physa.2025.130949

Octavio J. Furlong , Paulo M. Centres , Fernando L. Ferreira , Wilfred T. Tysoe , Sergio J. Manzi

{"title":"Diffusion in a Prandtl-Tomlinson potential: Analytical and Monte Carlo results","authors":"Octavio J. Furlong , Paulo M. Centres , Fernando L. Ferreira , Wilfred T. Tysoe , Sergio J. Manzi","doi":"10.1016/j.physa.2025.130949","DOIUrl":"10.1016/j.physa.2025.130949","url":null,"abstract":"<div><div>The Prandtl-Tomlinson model is one of the most simple and efficient approaches used to describe the nanoscale frictional behavior of an atomic force microscope (AFM) tip moving (“diffusing”) across a flat crystal surface. In its classical version, this model incorporates a sinusoidal energy potential as a function of lateral distance, where the tip slides between minima in a finite system (particle in box like system) and the corresponding transition rates are controlled by thermally activated processes that depend on the tip position over the energy profile. This work analyzes the parameters that characterize these type of diffusing systems, such as mean square displacement and roughness, by means of analytical solutions and kinetic Monte Carlo simulations. An analytical expression that can be numerically solved is obtained for the occupation probabilities. This expression validates the Monte Carlo algorithm, which allows the study of larger systems and their temporal evolution. It is shown that the distribution of these probabilities follows a normal distribution determined by parameters that are intrinsic to the PT potential. Thus allowing an analytical expression for this normal probability distribution to be propose. The results of such analysis could be used to rationalize AFM results, in particular in the field of nanotribology, and could also be used to analyze other diffusion controlled processes.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"677 ","pages":"Article 130949"},"PeriodicalIF":3.1,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linear entropy of purity as indicators of quantumness and criticality in a Spin-1/2 Ising–Heisenberg diamond chain 纯度的线性熵作为自旋为1/2的伊辛-海森堡钻石链的量子性和临界性指标

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-08-29 DOI: 10.1016/j.physa.2025.130939

S. Bhuvaneswari , R. Muthuganesan , R. Radha

{"title":"Linear entropy of purity as indicators of quantumness and criticality in a Spin-1/2 Ising–Heisenberg diamond chain","authors":"S. Bhuvaneswari , R. Muthuganesan , R. Radha","doi":"10.1016/j.physa.2025.130939","DOIUrl":"10.1016/j.physa.2025.130939","url":null,"abstract":"<div><div>In this article, exploiting the notion of the resource theory of purity, we introduce a nonclassical correlation measure defined as the difference between the purity of a quantum state and its counterpart. It is demonstrated that the proposed purity-based measure is a faithful measure of nonclassical correlation. Harnessing the above proposed nonclassical measure, we investigate the behavior of quantum correlations and critical phenomena in a spin-1/2 Ising–Heisenberg diamond chain in the presence of Dzyaloshinskii–Moriya (DM) interaction. We analyze the ground-state phase diagram of the system and demonstrate that the DM interaction significantly expands the entangled region. By constructing the thermal state of the spin-1/2 Ising–Heisenberg diamond chain, we investigate the quantum correlations of the physical system under consideration. Furthermore, we explore phase transitions in the spin-1/2 Ising–Heisenberg diamond chain from the perspective of quantum information theory focusing on quantum correlations as a tool. The impact of DM interaction and other system parameters on nonclassicality and quantum criticality have also been brought out.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"677 ","pages":"Article 130939"},"PeriodicalIF":3.1,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144921794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the alighting and boarding process through train doors using a Markov process with flow-dependent transition probabilities 利用具有流相关过渡概率的马尔可夫过程对列车车门下车和上车过程进行建模

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-08-29 DOI: 10.1016/j.physa.2025.130942

Mehdi Baali , Christine Buisson , Rémi Coulaud , Winnie Daamen

{"title":"Modeling the alighting and boarding process through train doors using a Markov process with flow-dependent transition probabilities","authors":"Mehdi Baali , Christine Buisson , Rémi Coulaud , Winnie Daamen","doi":"10.1016/j.physa.2025.130942","DOIUrl":"10.1016/j.physa.2025.130942","url":null,"abstract":"<div><div>Understanding and modeling the alighting and boarding process in suburban train services is crucial to optimizing train dwellings. The alighting and boarding process is a bi-directional pedestrian flow through a bottleneck, being the door opening. Pedestrian flows, including alighting and boarding processes, are generally modeled by two-dimensional pedestrian models, such as cellular automata or social force models. These two-dimensional models are calibrated from two-dimensional data sources that are often complicated to access for privacy reasons. The availability of disaggregated passenger counting data led us to propose a different modeling approach based on cumulative flows. The model is a Markov process with variable transition probabilities. Transition probabilities are computed from the remaining number of alighting and boarding via a differential equation based on the pedestrian fundamental diagram and density estimations. The parameters of the differential equation were fitted using disaggregated passenger counting data. The model shows better predictive power than a linear benchmark model calibrated on the same data. The physical parameters of the model are consistent with the existing literature. The proposed approach offers an alternative to commonly used two-dimensional models, providing easier calibration. Such a model will enable the forecasting of alighting and boarding time distributions, facilitating better dwell time planning and train and platform design.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"677 ","pages":"Article 130942"},"PeriodicalIF":3.1,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0