Physica A: Statistical Mechanics and its Applications最新文献_第5页

Application of link prediction algorithms in urban rail transit networks 链路预测算法在城市轨道交通网络中的应用

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-06 DOI: 10.1016/j.physa.2025.131031

Jiaao Guo , Qinghuai Liang , Zhongbei Tian , Jiaqi Zhao , Shu Yang

{"title":"Application of link prediction algorithms in urban rail transit networks","authors":"Jiaao Guo , Qinghuai Liang , Zhongbei Tian , Jiaqi Zhao , Shu Yang","doi":"10.1016/j.physa.2025.131031","DOIUrl":"10.1016/j.physa.2025.131031","url":null,"abstract":"<div><div>Accurate link prediction in urban rail transit networks (URTNs) presents unique challenges due to their fixed spatial constraints and operational complexity. Current methodologies for abstract networks fail to address these structural specificities, particularly the interdependencies between stations and lines. This study introduces an innovative bipartite graph embedding framework that integrates topological constraints with passenger flow dynamics to overcome these limitations.Our approach features three key advancements: (1) A heterogeneous graph decomposition strategy preserving line-station relationships through bipartite mapping, enabling explicit modeling of transfer dependencies; (2) An enhanced Bipartite Network Embedding (BINE) algorithm incorporating queuing theory-driven passenger flow simulations, where node sampling frequencies adapt to station service capacities; (3) A multi-criteria similarity optimization model combining topological and operational features through advanced weighting mechanisms. Experimental validation across multiple metropolitan networks demonstrates significant improvements in network resilience and operational efficiency. The framework effectively balances topological integrity with passenger flow optimization, showing enhanced robustness against structural disruptions and improved transfer efficiency. These outcomes provide actionable insights for phased network expansion strategies, establishing a new paradigm for transit network optimization that bridges theoretical graph modeling with practical urban planning requirements.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131031"},"PeriodicalIF":3.1,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271042","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

Spatiotemporal complexity of vegetation dynamics in view of optimal control 基于最优控制的植被动态时空复杂性研究

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-06 DOI: 10.1016/j.physa.2025.131028

Li-Feng Hou , Shifu Wang , Li Li , Bai-Lian Li , Gui-Quan Sun

{"title":"Spatiotemporal complexity of vegetation dynamics in view of optimal control","authors":"Li-Feng Hou , Shifu Wang , Li Li , Bai-Lian Li , Gui-Quan Sun","doi":"10.1016/j.physa.2025.131028","DOIUrl":"10.1016/j.physa.2025.131028","url":null,"abstract":"<div><div>The investigation of vegetation pattern transitions in arid and semi-arid areas plays a pivotal role in evaluating ecosystem health and averting ecosystem degradation. Nonetheless, extant research predominantly concentrates on transitions triggered by natural phenomena such as precipitation, with scant attention given to reversing pattern structures via intervention strategies. In this study, we leverage optimal control theory and incorporate human activities, characterized by significant controllability, as control variables within the Rietkerk model, to conduct an in-depth analysis of pattern transitions. Our findings reveal that under challenging natural conditions, it is feasible to induce pattern transitions by devising appropriate spatiotemporal distributions of human activities. Additionally, our research indicates that enhancing sparsity within the anticipated error margin can substantially reduce control expenditures without detracting from the efficacy of the pattern transitions. In essence, this paper introduces a novel methodological approach for examining pattern transitions from a control standpoint, offering fresh perspectives for the development of strategies aimed at desertification mitigation and control in arid landscapes.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131028"},"PeriodicalIF":3.1,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270567","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

Taming chimeras in multiplex networks of coupled oscillators based on multi-agent deep reinforcement learning 基于多智能体深度强化学习的耦合振荡多路网络中的驯服嵌合体

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-04 DOI: 10.1016/j.physa.2025.131026

Huicong Zhong , Jianpeng Ding , Youming Lei , Michael Small

{"title":"Taming chimeras in multiplex networks of coupled oscillators based on multi-agent deep reinforcement learning","authors":"Huicong Zhong , Jianpeng Ding , Youming Lei , Michael Small","doi":"10.1016/j.physa.2025.131026","DOIUrl":"10.1016/j.physa.2025.131026","url":null,"abstract":"<div><div>We propose a method based on the multi-agent soft actor–critic (MASAC) algorithm for taming chimera states in two-layer multiplex networks. In the method, two agents are designed, where one is responsible for observing and controlling the accessible layer and the other dedicated to monitoring the target layer and adaptively adjusting the interlayer coupling strengths accordingly. Through cooperation, the two agents can achieve indirect control of the desired chimera state in the inaccessible target layer, despite being unavailable for direct access. The method employs the centralized training and decentralized execution framework, to overcome the difficulty of implementing control without simultaneous observation of all layers. Furthermore, pinning control is introduced when controlling the accessible layer. In this MASAC-based method combined with pinning control, the control mechanism of chimera states does not arise from synchronization, but relates to cooperation between two designed agents. Therefore, the method works even without the desired chimera state in the accessible layer. Results demonstrate the effectiveness and robustness of the MASAC-based method, both with and without pinning control, across varying system sizes and ratios of controlled nodes. The MASAC-based method combined with pinning control remains effective even when only 10% of the nodes in the accessible layer are actively controlled.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131026"},"PeriodicalIF":3.1,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270566","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

Impact of dual media on misinformation spread in heterogeneous online social networks 双重媒体对异质在线社交网络中错误信息传播的影响

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-04 DOI: 10.1016/j.physa.2025.131024

Shidong Zhai , Xin Wang , Wei Zhu , Guanrong Chen

{"title":"Impact of dual media on misinformation spread in heterogeneous online social networks","authors":"Shidong Zhai , Xin Wang , Wei Zhu , Guanrong Chen","doi":"10.1016/j.physa.2025.131024","DOIUrl":"10.1016/j.physa.2025.131024","url":null,"abstract":"<div><div>The rapid spread of misinformation through online social networks presents a significant threat to social stability, especially during public crises. This study develops a Susceptible–Asymptomatic–Infected–Recovered (SAIR) model for misinformation spread. It incorporates dual media coverage and network heterogeneity, and addresses key limitations of existing models that assume network degree-homogeneity and oversimplify media effects. The model includes both positive media reports (fact-checking) represented by saturation functions and the amplification of negative media within degree-heterogeneous networks. Using mean-field theory and next-generation matrix methods, the basic reproduction number is derived and the stability and existence conditions of both misinformation-free and misinformation-endemic equilibria are established. Numerical simulations show that positive media reports reduce the peak and final scale of misinformation by 11% and 18%, respectively, while hub nodes accelerate early-stage misinformation spread. Sensitivity analysis identifies critical factors influencing misinformation dynamics, highlighting the importance of targeted interventions on high-degree nodes. These results offer valuable insights for policymakers to design intervention strategies that leverage media polarity regulation and mitigate network vulnerabilities.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131024"},"PeriodicalIF":3.1,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271047","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

Measuring inequality in society-oriented Lotka–Volterra-type kinetic equations 在面向社会的lotka - voltera型动力学方程中测量不平等

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-04 DOI: 10.1016/j.physa.2025.131023

M. Menale , G. Toscani

引用次数: 0

Coevolution of opinion and consumption behavior under a two-layer network framework 双层网络框架下意见与消费行为的协同演化

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-03 DOI: 10.1016/j.physa.2025.131020

Longteng Yin , Juan Chen , Fujuan Gao , Xiaoqun Wu

{"title":"Coevolution of opinion and consumption behavior under a two-layer network framework","authors":"Longteng Yin , Juan Chen , Fujuan Gao , Xiaoqun Wu","doi":"10.1016/j.physa.2025.131020","DOIUrl":"10.1016/j.physa.2025.131020","url":null,"abstract":"<div><div>Individuals’ optimistic or pessimistic perceptions of the economic outlook typically spread rapidly through online networks, while consumption intentions and behaviors play a critical feedback role in this process with active consumption boosting market confidence and cautious consumption reinforcing pessimistic expectations. To elucidate this complex coupling mechanism, we construct and analyze a dynamic model – within a two-layer network framework – that integrates opinion propagation with a consumption activation–deactivation process (i.e., transitioning between active and inactive consumption). Specifically, we employ a threshold model on the first layer to simulate the evolution of “positive/negative economic-outlook” opinions, and an Susceptible–Infected–Susceptible(SIS)-like model on the second layer to capture individuals’ consumption behaviors. These two layers are then tightly coupled through an interaction formula. In experiments on a synthetically generated ER–<span><math><mi>k</mi></math></span>-regular two-layer network the system flips abruptly, jumping from a pessimistic-low-consumption state of roughly (0.16, 0.45) to an optimistic-high-consumption state of roughly (1.00, 0.95); for the real two-layer network derived from the Wiki-Vote dataset the deterministic and Monte-Carlo steady-state values differ by no more than 5 percent, and the phase-transition point shifts by only about 0.03, confirming a robust, quantifiable phase change. This sharp sensitivity defines a narrow policy-sensitive region where modest interventions can steer collective expectations and revive consumption.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"680 ","pages":"Article 131020"},"PeriodicalIF":3.1,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145271048","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

Critical phenomena in the Rock-Paper-Scissors model 石头剪刀布模型中的关键现象

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-03 DOI: 10.1016/j.physa.2025.131018

R.R. Justino , B.F. de Oliveira , F.E.A. dos Santos

引用次数: 0

A temporal playbook for multiple wave dengue pandemic from Latin America and Asia to Italy 从拉丁美洲和亚洲到意大利的多波登革热大流行的时间剧本

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-01 DOI: 10.1016/j.physa.2025.131019

Alessandra D’Alise , Davide Iacobacci , Francesco Sannino

引用次数: 0

Impact of heterogeneity on risk propagation in supply chain networks 异质性对供应链网络风险传播的影响

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-01 DOI: 10.1016/j.physa.2025.131021

Kaiyuan Liu , Yongxiang Xia , Chengyi Xia , Haicheng Tu

{"title":"Impact of heterogeneity on risk propagation in supply chain networks","authors":"Kaiyuan Liu , Yongxiang Xia , Chengyi Xia , Haicheng Tu","doi":"10.1016/j.physa.2025.131021","DOIUrl":"10.1016/j.physa.2025.131021","url":null,"abstract":"<div><div>In the highly interconnected global economy, risk propagation in supply chain networks has garnered significant attention due to its profound impact. Based on complex network theory, this paper proposes a Degree-Dependent Heterogeneous Risk Propagation (DDHRP) model, in which risk is represented as a binary state within a susceptible–infected–susceptible (SIS) framework: a firm is either infected or susceptible. By use of mean-field equations, we derive the risk propagation threshold and the infection probability under varying basic propagation rates <span><math><msub><mrow><mi>λ</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span>, and analyze how different heterogeneity parameters affect the distribution of infection probability across degrees of nodes. Experimental simulations show that the monotonicity of a node’s infection probability with respect to node degree can be controlled by adjusting model parameters. Moreover, increasing heterogeneity in risk transmission reduces the average infection prevalence across nodes, whereas greater heterogeneity in risk recovery increases it. Our research not only offers a heterogeneous risk propagation model adapted for supply chain networks, but also provides a theoretical foundation for risk early warning and control.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"679 ","pages":"Article 131021"},"PeriodicalIF":3.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222134","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

Enhancing ergotropy of quantum batteries through coherence and non-Markovianity 通过相干性和非马尔可夫性增强量子电池的自恋性

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-10-01 DOI: 10.1016/j.physa.2025.131003

A. Oularabi, A. El Allati, K. El Anouz

引用次数: 0