Zian Le , Mingyang Zhou , Hao Liao , Xiangrong Wang , Rui Mao
{"title":"Removing noisy links benefits link prediction in complex network","authors":"Zian Le , Mingyang Zhou , Hao Liao , Xiangrong Wang , Rui Mao","doi":"10.1016/j.physa.2026.131415","DOIUrl":"10.1016/j.physa.2026.131415","url":null,"abstract":"<div><div>Link prediction seeks to infer missing or prospective links from observed graph topology. However, real-world networks frequently contain redundant or adversarial injected links(hereafter termed <em>noisy links</em>). The noisy links disrupt the alignment between node embeddings and network topology in graph neural networks (GNNs), and thereby degrade prediction accuracy. To address this issue, we propose <em>Noisy Link detection for Link Prediction</em> (NLLP) algorithm to detect the noisy links whose removal improves the link prediction accuracy. NLLP quantifies the impact of each link on the objective of link prediction-based GNN model via loss-perturbation analysis. We provide a systematic analysis of its time and space complexity. NLLP has both theoretical rigor and computational efficiency. We empirically evaluate NLLP on different real-world datasets and the results verify the effectiveness of our algorithm.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"688 ","pages":"Article 131415"},"PeriodicalIF":3.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387069","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}
Xiaoyuan Wang , Fredric S. Cohen , Shixin Xu , Yongqiang Cai
{"title":"Characterization of phospholipid–cholesterol bilayers as self-assembled amphiphile block polymers that contain headgroups","authors":"Xiaoyuan Wang , Fredric S. Cohen , Shixin Xu , Yongqiang Cai","doi":"10.1016/j.physa.2026.131430","DOIUrl":"10.1016/j.physa.2026.131430","url":null,"abstract":"<div><div>Cholesterol is known to modulate the structure and function of biological membranes. In this study, we use self-consistent field theory (SCFT) to investigate phospholipid/cholesterol bilayer membranes modeled with two types of diblock copolymers. These copolymer-based bilayers serve as biomimetic platforms with applications in areas such as drug delivery. Our simulations identify a minimum free energy configuration characterized by phospholipid tails tilted relative to the membrane normal. The model quantitatively captures the well-known area condensation effect as cholesterol concentration increases, along with membrane thickening and reduced tilt angle. Thermodynamically, we observe a linear dependence between cholesterol’s chemical potential and its concentration within the 37%–50% range, consistent with experimental results. Additionally, we analyze the effects of block copolymer length and headgroup interactions on bilayer structure. Interactions between phospholipid headgroups and the solvent emerge as the most influential. This work provides a theoretical framework for understanding cholesterol’s regulatory role in membrane structure and mechanics.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"688 ","pages":"Article 131430"},"PeriodicalIF":3.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386963","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}
Yaqin He , Jiehang Chen , Wancheng Yang , Mengchi Rao
{"title":"Integrated driving behavior modeling for expressway merging zones based on virtual vehicles","authors":"Yaqin He , Jiehang Chen , Wancheng Yang , Mengchi Rao","doi":"10.1016/j.physa.2026.131385","DOIUrl":"10.1016/j.physa.2026.131385","url":null,"abstract":"<div><div>Highway merging areas are critical traffic bottlenecks, where complex interactions between car-following and lane-changing behaviors substantially affect traffic flow efficiency and safety. Existing simulation models often treat these two driving behaviors in a decoupled manner, limiting their ability to accurately represent merging-zone dynamics. To address this limitation, this study introduces a virtual vehicle–based unified modeling framework for expressway merging areas. By mapping virtual vehicles into the target lane, the model seamlessly integrates lane-changing and car-following behaviors within a consistent decision-making structure. The framework is calibrated using real-world trajectory data via a genetic algorithm (GA) and validated through stability analysis and simulation experiments. Compared to established models such as the default Simulation of Urban MObility (SUMO), MOBIL, and Social Force (SF) models, the proposed approach demonstrates substantially better agreement with field observations across multiple performance indicators—including speed, acceleration, stop frequency, lane-changing frequency, lane-changing time-to-collision (LCTTC), and space headway. This improved simulation fidelity provides researchers and practitioners with a more reliable tool for evaluating merging-area management strategies and supports the development of more effective intelligent transportation systems for bottleneck mitigation.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"688 ","pages":"Article 131385"},"PeriodicalIF":3.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386968","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}
{"title":"Dynamics of quantum coherence and non-classical correlations in open quantum system coupled to a squeezed thermal bath","authors":"Neha Pathania, Ramniwas Meena, Subhashish Banerjee","doi":"10.1016/j.physa.2026.131405","DOIUrl":"10.1016/j.physa.2026.131405","url":null,"abstract":"<div><div>We investigate the intricate dynamics of quantum coherence and non-classical correlations in a two-qubit open quantum system coupled to a squeezed thermal reservoir. By exploring the correlations between spatially separated qubits, we unravel the complex interplay between quantum correlations and decoherence induced by the reservoir. Our findings demonstrate that non-classical correlations such as quantum consonance, quantum discord, local quantum uncertainty, and quantum Fisher information are highly sensitive to the collective regime. These insights identify key parameters for optimizing quantum metrology and parameter estimation in systems exposed to environmental interactions. Furthermore, we quantify these quantum correlations in the context of practical applications such as quantum teleportation, using the two metrics <em>viz.</em> maximal teleportation fidelity and fidelity deviation. This work bridges theoretical advancements with real-world applications, offering a comprehensive framework for leveraging quantum resources under the influence of environmental decoherence.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"688 ","pages":"Article 131405"},"PeriodicalIF":3.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387033","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}
{"title":"Combined use of “two-step” and “field-theoretic” renormalization group theories for deterministic partial differential equations","authors":"Ko Okumura","doi":"10.1016/j.physa.2026.131362","DOIUrl":"10.1016/j.physa.2026.131362","url":null,"abstract":"<div><div>The renormalization group (RG) theory, which revealed the origin of universality in critical phenomena, was further developed for non-thermodynamic systems, in particular, for partial differential equations (PDEs) without noise in two different ways: one by physicists, which is “field-theoretic”, and the other by mathematicians, which is “two-step”, while both approaches seem difficult to understand without the basic knowledge on each field. Here, we combine the two approaches with the aid of a stability analysis, in a way understandable for non-specialists, to bridge the gap between the fields. As a result, we show that the self-similar solution appears as a stable RG fixed point and is shared by a wide class of PDEs called “the universality class”, that the scale invariance is the origin of universality, and that a critical exponent is obtained from a divergent series, which is made finite by the renormalization technique in quantum field theory.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131362"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192945","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}
{"title":"Coevolution of epidemic spread and protective behavior in populations with heterogeneous behavioral tendencies","authors":"Xinkun Zhang , Hongsheng Deng , Zhongyuan Ruan , Xiyun Zhang","doi":"10.1016/j.physa.2026.131376","DOIUrl":"10.1016/j.physa.2026.131376","url":null,"abstract":"<div><div>Human behavior plays a critical role in the progression and containment of epidemics, as individuals adjust their protective actions in response to both local social influence and global epidemic information. We propose a multiplex coevolutionary model that couples the susceptible–infected–recovered (SIR) epidemic dynamics on a physical contact network with threshold-based behavioral dynamics on a virtual information layer. Individuals are categorized into three behavioral tendencies: active, general, and unusual, representing proactive, normal, and rebellious behavioral types, respectively. Using Monte Carlo simulations combined with a discrete-time Markov chain analysis, we systematically explore how behavioral composition and behavioral thresholds affect epidemic evolution. The results reveal a nonmonotonic dependence of the final epidemic size on the fraction of unusual individuals. When prosocial individuals are scarce, a small proportion of rebellious individuals can unexpectedly promote early mask adoption and transiently suppress transmission, while a higher proportion destabilizes protective behavior and enlarges outbreaks. Global and local behavioral thresholds regulate distinct feedback mechanisms, where global thresholds synchronize large-scale responses and local thresholds control the diffusion and persistence of protective measures. Further analysis shows that lower sensitivity and peer thresholds, together with stronger persistence of mask wearing among rebellious individuals, significantly enhance epidemic containment. These findings are robust across different network structures, and highlight that behavioral heterogeneity can fundamentally alter epidemic outcomes and that adjusting behavioral thresholds and social reinforcement provides an effective and sustainable strategy for epidemic control.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131376"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192979","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}
{"title":"Tsallis’ q-statistics and thermal geometry","authors":"Angelo Plastino","doi":"10.1016/j.physa.2026.131282","DOIUrl":"10.1016/j.physa.2026.131282","url":null,"abstract":"<div><div>We uncover a deep connection between Tsallis’ nonextensive thermostatistics and the information-geometric structure of thermodynamics through the example of the van der Waals fluid. Starting from a <span><math><mi>q</mi></math></span>-generalized formulation of the van der Waals equation of state, we focus attention on the corresponding modified critical parameters <span><math><msubsup><mrow><mi>T</mi></mrow><mrow><mi>c</mi></mrow><mrow><mrow><mo>(</mo><mi>q</mi><mo>)</mo></mrow></mrow></msubsup></math></span>, <span><math><msubsup><mrow><mi>P</mi></mrow><mrow><mi>c</mi></mrow><mrow><mrow><mo>(</mo><mi>q</mi><mo>)</mo></mrow></mrow></msubsup></math></span>, and <span><math><msubsup><mrow><mi>n</mi></mrow><mrow><mi>c</mi></mrow><mrow><mrow><mo>(</mo><mi>q</mi><mo>)</mo></mrow></mrow></msubsup></math></span>, and analyze how nonextensivity reshapes the curvature of the pertinent thermodynamic manifold. The Tsallis deformation parameter <span><math><mi>q</mi></math></span> introduces an additional degree of freedom that directly modulates thermodynamic curvature, thereby linking entropy nonadditivity with the geometric measure of fluctuation strength. Departures from the Boltzmann–Gibbs case (<span><math><mrow><mi>q</mi><mo>=</mo><mn>1</mn></mrow></math></span>) induce systematic changes in both the scalar curvature <span><math><msub><mrow><mi>R</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span> and the Fisher information <span><math><msub><mrow><mi>F</mi></mrow><mrow><mi>q</mi></mrow></msub></math></span>, highlighting a geometric manifestation of nonextensive correlations. The ensuing <em>parallelism between Tsallis’</em> <span><math><mi>q</mi></math></span><em>-statistics and thermal geometry</em> establishes a new unified framework where nonextensivity and curvature jointly information quantifiers like the rigidity, stability, and correlation structure of interacting fluids. Finally, a new interpretation for the meaning of the celebrated parameter <span><math><mi>q</mi></math></span> is found.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131282"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192944","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}
Rui Gao , Dawei Zhang , Weixin Li , Shangbin Jiao , Yan Zhu , Xuzhao Yuan , Jianying Fan
{"title":"Detection of weak signals in second-order composite multi-stable matching stochastic resonance","authors":"Rui Gao , Dawei Zhang , Weixin Li , Shangbin Jiao , Yan Zhu , Xuzhao Yuan , Jianying Fan","doi":"10.1016/j.physa.2026.131365","DOIUrl":"10.1016/j.physa.2026.131365","url":null,"abstract":"<div><div>First-order systems are susceptible to low-frequency noise interference, often necessitating the use of external filters. Second-order multi-stable stochastic resonance (SR) leverages the secondary utilization of noise energy to effectively transfer high-frequency noise energy to the lower frequency range, significantly improving the output signal-to-noise ratio (SNR). Therefore, this paper proposes a new second-order composite multi-stable matching stochastic resonance (SCMMSR) system. By investigating the SR characteristics of the SCMMSR system, this study analyzes the influence of its parameter changes on the signal-to-noise ratio improvement. This paper presents the adaptive detection of periodic and non-periodic signals in Gaussian noise. The SCMMSR system demonstrated superior detection performance compared to the first-order composite multi-stable stochastic resonance system. The SR system based on the new model was tested on actual bearing fault data, demonstrating its ability to detect faults in the inner race, outer race, rolling elements, and cage. The proposed method exhibits superior detection performance compared to the traditional second-order tristable stochastic resonance. This work extends the application of SR in engineering practice and verifies the effectiveness and practicality of the proposed SCMMSR method.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131365"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192941","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}
{"title":"A group evacuation simulation model under bidirectional flow collision and stampede scenarios","authors":"Mao Qinghua, Huo Songzhuo, Li Yang, Xuyang Wan","doi":"10.1016/j.physa.2026.131371","DOIUrl":"10.1016/j.physa.2026.131371","url":null,"abstract":"<div><div>To investigate the evolution mechanisms of bidirectional flow collision and stampedes in high-density crowd environments, and characterize the complex interaction process between pedestrian psychology, behavior, and the environment, this paper constructs an extended Floor Field Cellular Automaton (FFCA) model for group evacuation simulation. The model incorporates a panic contagion mechanism that triggers pedestrians’ state transition from normalcy to alertness; integrates an information propagation mechanism to capture behavioral differentiation caused by spatiotemporal differences in risk perception; and accounts for pedestrian equilibrium under the combined action of multiple forces, including pushing, supporting, and group cohesion, thereby fully delineating the multi-stage evolutionary chain from crowd gathering, goal conflict, balance loss, trampling injury to successful evacuation. Simulation results validate the model’s robustness and accurately reproduce the key dynamic characteristics of stampede incidents, with its simulation performance highly consistent with previous classical models. The study finds that: (1) the evacuation process exhibits phased characteristics of risk aggregation and efficient egress; (2) high-incidence zones of critical behaviors such as collisions, falls, and trampling collectively form a \"risk evolution corridor\"; (3) groups form effective internal support through coordination, significantly enhancing structural stability; (4) lateral forces are a critical disaster-inducing factor for pedestrian imbalance and incident escalation. The research outcomes provide theoretical reference and simulation-based evidence for formulating emergency evacuation strategies in high-density crowd venues.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131371"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192946","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}
Yusong Ye , Xiaopei Jiao , Mingjun Han , Zhuoqin Yang
{"title":"The phase polarization induced by homogeneous structure of evolving random hypergraph","authors":"Yusong Ye , Xiaopei Jiao , Mingjun Han , Zhuoqin Yang","doi":"10.1016/j.physa.2026.131377","DOIUrl":"10.1016/j.physa.2026.131377","url":null,"abstract":"<div><div>Hypergraphs are an extremely useful tools that have been used extensively in recent years to study complex systems with nonlinearity, time delays, cooperation, and other complex dynamics. The generation of random hypergraphs for the investigation of network structures is an essential direction in hypergraph research. In network science, the Preferential Attachment (PA) paradigm is central for generating random hypergraph networks. However, previous studies have predominantly focused on PA mechanisms based on cooperative patterns, while ignoring the inclusion of affiliation and the group evolution in the emergence of hyperedges. In this paper, we develop a random hypergraph evolution model based on the consensus threshold mechanism. We investigate the degree distribution and the hyperedge evolution mechanisms numerically and theoretically. Moreover, we propose a hypergraph homogeneity index to quantitatively characterize hypergraph structures. Unlike classical centrality-based metrics, this index effectively captures the degree-distribution patterns within hyperedges and extends the concept of degree-based distance. By introducing the homogeneity index, our results reveal that the structural properties of hypergraphs are significantly influenced by the consensus mechanism. A flatter network topology is implied by a higher threshold; however, it also indicates a more homogeneous structure. Furthermore, based on our proposed model, we also investigate how homogeneity affects the polarization process within different network structures. Heterogeneous networks are less prone to polarization, while homogeneous hypergraphs are more susceptible to polarization phenomena.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"687 ","pages":"Article 131377"},"PeriodicalIF":3.1,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146192940","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}