Physica A: Statistical Mechanics and its Applications最新文献_第2页

Modeling structural power in hypergraphs: An application to the interstate alliances network 超图中的结构权力建模：在州际联盟网络中的应用

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-20 DOI: 10.1016/j.physa.2025.130776

Dimitris Tsintsaris , Evangelos Ioannidis

{"title":"Modeling structural power in hypergraphs: An application to the interstate alliances network","authors":"Dimitris Tsintsaris , Evangelos Ioannidis","doi":"10.1016/j.physa.2025.130776","DOIUrl":"10.1016/j.physa.2025.130776","url":null,"abstract":"<div><div>In this article, we develop a novel approach for modeling structural power in social networks, arguing that <em><strong>social agents also derive power from the direct or indirect social support they receive from other agents</strong></em>. We conceptualize structural power as a complex outcome of interconnection between agents at different scales of network structure, <em>micro</em>, <em>meso</em>, and <em>macro</em>. Structural power enhances the capabilities of a social agent through <em>interdependence</em> and <em>emergence</em>. Each agent benefits from the capabilities of others, so that <em><strong>they collectively become capable of accomplishing more than each could accomplish on its own</strong></em>. We model structural power using <em>hypergraphs</em> and <em>Spectral Graph Theory</em>. In this way, hyperdyadic associations and structural affinities are effectively captured. Our modeling approach is applied on the interstate alliances hypergraph. We find that taking into account structural power is crucial <em>for detecting latent power interdependencies, for revealing the full extent of the capabilities of prominent states, and for enhancing power comparisons</em>. The contemporary relevance of our findings is highlighted by the Russo-Ukrainian war as well as the Iran-Israel war.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130776"},"PeriodicalIF":2.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518953","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

A neural network method for the escape rate in metastable systems 亚稳系统逃逸率的神经网络方法

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-19 DOI: 10.1016/j.physa.2025.130759

Tao Zhou , Han Zhou , Ming-Gen Li , Shiwei Yan

引用次数: 0

Feedback control of a heterogeneous lattice hydrodynamic model with multi-visual field effect under cyber-attacks 网络攻击下具有多视场效应的非均质晶格水动力模型的反馈控制

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-18 DOI: 10.1016/j.physa.2025.130781

Yanfeng Qiao , Yu Xue , Ronghan Yao , Baofeng Pan , Bingling Cen , Wengsong Zhang

{"title":"Feedback control of a heterogeneous lattice hydrodynamic model with multi-visual field effect under cyber-attacks","authors":"Yanfeng Qiao , Yu Xue , Ronghan Yao , Baofeng Pan , Bingling Cen , Wengsong Zhang","doi":"10.1016/j.physa.2025.130781","DOIUrl":"10.1016/j.physa.2025.130781","url":null,"abstract":"<div><div>As intelligent driving technology and vehicle communication systems advance rapidly, the future road networks are expected to be dominated by a heterogeneous traffic mix of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs). However, malicious cyber-attacks targeting CAVs can create discrepancies between the traffic data they receive and actual conditions, thereby increasing traffic risks. This study employs a lattice hydrodynamics framework that incorporates multi-visual field effects, proposing a model with a feedback control strategy to counteract the adverse effects of cyber-attacks. Linear stability analysis yields the neutral stability curve, while nonlinear analysis leads to a modified Korteweg-de Vries (mKdV) equation describing the evolution of traffic congestion near the critical point. Theoretical results are validated through numerical simulations under periodic boundary conditions. Additionally, power spectrum and spectral entropy analysis provide deeper insights into how the proportion of CAVs, cyber-attacks, and feedback control influence traffic stability. The simulations indicate that a higher CAV ratio can enhance system stability. Conversely, false traffic information received by the vehicle control unit can trigger traffic collapse or diminish traffic efficiency. The proposed feedback control strategy effectively alleviates these negative impacts from cyber-attacks, enhancing both the stability and efficiency of mixed traffic systems. These findings are further substantiated by power spectrum and spectral entropy analyses of density evolution.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130781"},"PeriodicalIF":2.8,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366859","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

A novel model based on graph kernel and S-R score in visibility graph for time series forecasting 一种基于图核和可见度图S-R评分的时间序列预测模型

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-18 DOI: 10.1016/j.physa.2025.130756

Yongzhuo Xu , Bingyi Kang

引用次数: 0

Clustering indications before the Mw7.0 2020 Samos, Greece, main shock as revealed in an equivalent dimensions space 在等效维度空间中显示的Mw7.0 2020希腊萨摩斯主震前的聚类迹象

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-16 DOI: 10.1016/j.physa.2025.130777

Stanislaw Lasocki , Vasileios G. Karakostas , Eleftheria E. Papadimitriou

{"title":"Clustering indications before the Mw7.0 2020 Samos, Greece, main shock as revealed in an equivalent dimensions space","authors":"Stanislaw Lasocki , Vasileios G. Karakostas , Eleftheria E. Papadimitriou","doi":"10.1016/j.physa.2025.130777","DOIUrl":"10.1016/j.physa.2025.130777","url":null,"abstract":"<div><div>The transformation to equivalent dimensions, which offers a novel approach for investigating seismic processes was engaged in analyzing the preparatory phase of the 2020 Samos, Greece, M<sub>w</sub>7.0 main shock. The analysis considered earthquakes between 2006 and October 2020, just before the main shock occurrence, covering an area extended three times the length of the main rupture. The earthquake occurrence times, epicentral geographical coordinates, and magnitudes were used to evaluate triplets comprising the magnitudes, waiting times – the intervals since the previous earthquake, and epicentral offsets – the distances between the epicenters of this and the previous earthquake. After transforming these new parameters into equivalent dimensions, their triplets became points in the [0,1] cube. The points were linked to the times of earthquake occurrences. The average distance between these points, calculated within consecutive 50–event data windows, was used to track the evolution of the seismic process. Results revealed a distinct pattern, in which the average distance was increasing steadily during the twelve-year period before the main shock. These temporal changes in the average distance were driven by a systematic evolution of the {magnitude, waiting time, epicentral offset} points clustering. Similar behavior of the average distance between the {magnitude, waiting time, epicentral offset} points was also observed in other strong earthquake cases. This suggests that tracking the time changes of the average distance between such new parameterizations of the earthquake process may also add, in the future, to earthquake forecasting methods.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130777"},"PeriodicalIF":2.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330818","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

Simulating pedestrian movement in T-junction corridor: A novel vision-driven convolutional graph attention model with a dataset from experiments 模拟t型路口走廊行人运动：基于实验数据集的视觉驱动卷积图注意模型

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-16 DOI: 10.1016/j.physa.2025.130775

Tao Wang , Zhichao Zhang , Tingting Nong , Wenke Zhang , Yijun Tian , Yi Ma , Eric Wai Ming Lee , Meng Shi

{"title":"Simulating pedestrian movement in T-junction corridor: A novel vision-driven convolutional graph attention model with a dataset from experiments","authors":"Tao Wang , Zhichao Zhang , Tingting Nong , Wenke Zhang , Yijun Tian , Yi Ma , Eric Wai Ming Lee , Meng Shi","doi":"10.1016/j.physa.2025.130775","DOIUrl":"10.1016/j.physa.2025.130775","url":null,"abstract":"<div><div>With the rapid pace of urbanisation, the safety and efficiency of pedestrian traffic face increasingly severe challenges, particularly in densely populated public areas. Optimising pedestrian flow effectively has therefore become a critical issue requiring urgent attention. To address this challenge, this study proposes a vision-driven convolutional graph attention model (VI-CGAM) for simulating pedestrian future movements. The VI-CGAM comprises three components: a visual information-based interaction graph construction module, a graph attention network-based spatial feature extraction module, and a convolutional neural network-based temporal feature extraction module. In addition, this study conducted a series of experiments on pedestrian diverging and merging in T-junction of varying widths, collecting key data using unmanned aerial vehicle to construct a novel T-junction pedestrian movement dataset. The results show that VI-CGAM accurately simulates pedestrian trajectories, as well as the density and flow rate characteristics in key areas. Furthermore, ablation studies were conducted to demonstrate the effectiveness of each component of VI-CGAM. This study provides a robust algorithmic support and valuable data resources for intelligent transportation systems, with the potential to improve pedestrian flow management and safety planning in public spaces.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130775"},"PeriodicalIF":2.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321219","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

Analyzing the interconnections between clean and dirty cryptocurrency and energy markets 分析清洁和肮脏的加密货币与能源市场之间的相互联系

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-14 DOI: 10.1016/j.physa.2025.130769

Xiaoguang Zhou, Xueyao Guo, Yanan Chen

{"title":"Analyzing the interconnections between clean and dirty cryptocurrency and energy markets","authors":"Xiaoguang Zhou, Xueyao Guo, Yanan Chen","doi":"10.1016/j.physa.2025.130769","DOIUrl":"10.1016/j.physa.2025.130769","url":null,"abstract":"<div><div>With the increasing global attention to environmental sustainability, the application of clean energy and the energy efficiency of the cryptocurrency market have become increasingly important. This paper uses weekly data from March 2018 to July 2024 on the clean cryptocurrency market, dirty cryptocurrency market, and the energy market. It applies an autoencoder for dimensionality reduction of five clean cryptocurrency markets and four dirty cryptocurrency markets to calculate the corresponding indices. Subsequently, an R-vine copula model is constructed to analyze the structural relationships and correlations among the three markets. The study then constructs a vector autoregressive (VAR) model and conducts Granger causality tests and Diebold & Yilmaz variance decomposition to analyze the risk spillovers between the markets. The results indicate that solar energy plays a central role in the energy sector, bridging the gap between clean and dirty energy. Ethereum (ETH), through its blockchain technology and decentralized applications, has become an important link connecting the energy market, clean cryptocurrency market, and dirty cryptocurrency market. Furthermore, there exists a significant asymmetry in risk spillovers between the cryptocurrency market and the energy market, with both short-term and long-term spillovers showing similar asymmetries. Coal, wind energy, and solar energy act as risk receivers, while cryptocurrencies, crude oil, and natural gas primarily contribute to risk. Investors should focus on oil and cryptocurrency markets, less affected by others, while regulators should implement tailored strategies for solar and wind energy markets, which react more strongly to external risks, to prevent volatility.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130769"},"PeriodicalIF":2.8,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289124","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

Exploring cryptocurrency price dynamics and predictability with ordinal networks 通过序数网络探索加密货币价格动态和可预测性

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-13 DOI: 10.1016/j.physa.2025.130752

Oday Masoudi , Alessandro Mazzoccoli , Pierluigi Vellucci

引用次数: 0

Control signature of nodes in biological networks 生物网络中节点的控制特征

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-11 DOI: 10.1016/j.physa.2025.130771

Bingbo Wang , Yaoqi Shou , Mingjie Zhang , Haiyan Jin , Lin Gao

{"title":"Control signature of nodes in biological networks","authors":"Bingbo Wang , Yaoqi Shou , Mingjie Zhang , Haiyan Jin , Lin Gao","doi":"10.1016/j.physa.2025.130771","DOIUrl":"10.1016/j.physa.2025.130771","url":null,"abstract":"<div><div>Controllability of underlying biological networks is studied to help understand biological systems. Although structural properties of driver and critical nodes have been characterized for identifying novel disease genes and potential drug targets, the hypothesis that critical genes interpose crucial functional outcomes of cells has been consistently supported, and ordinary genes have been largely ignored because of their lower enrichment in the context of diseases. Here, we characterize ordinary genes from four different control perspectives, and present a 4-tuple index control signature to precisely describe their control properties. Importantly, we observed a small-scale topologically ordinary genes that make extraordinary contributions to disease etiology, which we called extraordinary genes (EGs). Studying the contribution of EGs in the omnigenic genetic architecture, we verified their high regulatory effects on core genes of diseases by analyzing expression quantitative trait loci, drug targets, and heritability data. We proposed a novel graph pattern of disease in which EGs converge the effects of peripheral signals into core, and improve the heritability enrichment of disease neighborhoods. Together, our results show, for the first time, the ability to characterize extraordinary disease-related genes from ordinary nodes, and suggest a more comprehensive disease-perturbed neighborhoods that further explains the omnigenic model.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130771"},"PeriodicalIF":2.8,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272059","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

Departure time choices and comparisons of household commuting based on the stochastic bottleneck model 基于随机瓶颈模型的家庭通勤出发时间选择与比较

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-10 DOI: 10.1016/j.physa.2025.130762

Boyu Lin , Qiumin Liu , Rui Jiang , Xingang Li , Di Cui

{"title":"Departure time choices and comparisons of household commuting based on the stochastic bottleneck model","authors":"Boyu Lin , Qiumin Liu , Rui Jiang , Xingang Li , Di Cui","doi":"10.1016/j.physa.2025.130762","DOIUrl":"10.1016/j.physa.2025.130762","url":null,"abstract":"<div><div>This paper investigates the impact of the stochastic bottleneck capacity on morning household trips when the school is located near home. There is a bottleneck on the way from the school to the workplace. Each household first drops off their children at school and then goes to work every morning. Based on the Wardrop’s first principle, which minimizes the expected travel cost for each household, all possible equilibrium departure/arrival patterns are examined. The study analyzes how the total travel cost (TTC) and total queuing cost (TQC) vary with the school-work start time difference, with the degradation ratio of capacity and with the degradation probability. Additionally, we compare the results with the scenario where the school is near the workplace. Our findings show that the TTC is always larger when the school is near the workplace compared to when it is near home. However, the queuing cost comparison depends on the parameters. We further compare the results with those in the deterministic model. We find that the TTC in the stochastic model is always larger than that under the deterministic model, while it is not necessarily true for the TQC. We also analyze the Pareto frontiers of TTC and TQC with respect to the school-work start time difference. This study captures the significance of school location and traffic uncertainty in determining the effectiveness of traffic management policies for household trips.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130762"},"PeriodicalIF":2.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281107","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