Physica A: Statistical Mechanics and its Applications最新文献_第9页

Distance-parameterized h-index gravity model for influential node identification in complex networks

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-06 DOI: 10.1016/j.physa.2025.130518

Senbin Yu , Wenjie Wang , Yunheng Wang , Haichen Chen , Xinyi Gan , Peng Zhang

{"title":"Distance-parameterized h-index gravity model for influential node identification in complex networks","authors":"Senbin Yu , Wenjie Wang , Yunheng Wang , Haichen Chen , Xinyi Gan , Peng Zhang","doi":"10.1016/j.physa.2025.130518","DOIUrl":"10.1016/j.physa.2025.130518","url":null,"abstract":"<div><div>Identifying influential nodes in complex networks through gravity-based models remains challenging due to the complex interplay between node quality and distance metrics. We propose a novel physics-inspired framework that uniquely integrates these parameters by treating inter-node distance as a dynamic factor in determining node quality. This approach extends the traditional <em>h</em>-index to a distance-parameterized neighborhood <em>h</em>-index, where node influence is quantified through iterative distance-based traversal. The framework introduces a saturation distance parameter to optimize the interaction range, addressing a fundamental limitation in existing gravity-based models. We validated our method on eight real-world networks using the Susceptible-Infected-Recovered (SIR) epidemic model. Results demonstrate superior performance in three aspects: higher correlation with SIR spreading outcomes, enhanced monotonicity in influence ranking, and further improved node distinguishability compared to nine conventional methods. This gravitational framework provides a more accurate and computationally efficient approach for identifying critical nodes in epidemic control and information diffusion.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"666 ","pages":"Article 130518"},"PeriodicalIF":2.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681434","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

Studying the impact of individual emotional states on the co-evolution of information, behavior and disease in multiplex networks

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-05 DOI: 10.1016/j.physa.2025.130480

Bingjie Wu , Liang’an Huo

{"title":"Studying the impact of individual emotional states on the co-evolution of information, behavior and disease in multiplex networks","authors":"Bingjie Wu , Liang’an Huo","doi":"10.1016/j.physa.2025.130480","DOIUrl":"10.1016/j.physa.2025.130480","url":null,"abstract":"<div><div>As the information technology era advances, information is rapidly disseminated, and it directly influence individuals’ behavioral choices, which will also have a significant impact on disease transmission, and the individual emotional states play a crucial role in this process. This paper proposes a new coupled model, aiming to investigate the co-evolutionary interactions of individual emotional states with information, behavior and disease transmission. Meanwhile, it innovatively introduces a threshold model, to quantify the process of individual emotional state change. The model considers that individuals’ emotional states are influenced by two main factors: the global information dissemination and the local disease severity. It also analyzes in depth how the individual emotional state affects the individual’s willingness to receive information, willingness to vaccinate, and susceptibility, which are important factors in the disease transmission process. The model is analyzed utilizing the MMCA (Microscopic Markov Chain Approach), aiming to obtain state transformation equation and derive the disease outbreak thresholds. Simulation experiments show that individual emotions tend to have a complex impact on the model transmission process. Overall, during disease transmission, individuals should appropriately regulate their emotional changes, make more positive and rational decisions, while effectively controlling the negative information dissemination, which is of vital importance for the maintenance of public health and social stability.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130480"},"PeriodicalIF":2.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579292","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

An approach for interdisciplinary knowledge discovery: Link prediction between topics

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-05 DOI: 10.1016/j.physa.2025.130517

Huo Chaoguang , Han Yueji , Huo Fanfan , Zhang Chenwei

{"title":"An approach for interdisciplinary knowledge discovery: Link prediction between topics","authors":"Huo Chaoguang , Han Yueji , Huo Fanfan , Zhang Chenwei","doi":"10.1016/j.physa.2025.130517","DOIUrl":"10.1016/j.physa.2025.130517","url":null,"abstract":"<div><div>Predicting interdisciplinary links between topics can unveil potential interdisciplinary knowledge relationships and foster innovation. Considering keywords extracted from interdisciplinary research as topics, we propose a topic link prediction method based on graph neural networks. We emphasize the integration of topic semantic content features, author direct-collaboration features, and indirect-collaboration features to improve prediction performance. The interdisciplinary topic link prediction models are constructed using Graph Convolutional Networks (GCN), Graph Attention Networks (GAT), Graph Sample and Aggregate (GraphSAGE), BERT, and Node2Vec. These models are validated by using digital humanities data as a case study. We find that the integration of semantic content, direct-collaboration, and indirect-collaboration features significantly improved the Area Under the Curve (AUC) by 20.68 % and the Average Precision (AP) by 16.52 %, compared to relying solely on the co-occurrence network. For topic reorganization, we find that the features we designed make more sense than GNN algorithms alone, and that weak relationships contribute more to topic link prediction than strong relationships. Our approach provides valuable research insights and references for scholars engaged in interdisciplinary knowledge. Notably, this is an innovative approach to interdisciplinary knowledge discovery through knowledge reorganization.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130517"},"PeriodicalIF":2.8,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579291","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

Dynamical phase transitions in two-dimensional Brownian matter

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-04 DOI: 10.1016/j.physa.2025.130482

Nathan O. Silvano , Daniel G. Barci

引用次数: 0

Analysis of the impact of large vehicles in merging areas based on driver characteristics under vehicle-road coordination

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-04 DOI: 10.1016/j.physa.2025.130497

Shuhua Li, Yongsheng Qian, Junwei Zeng, Xu Wei

{"title":"Analysis of the impact of large vehicles in merging areas based on driver characteristics under vehicle-road coordination","authors":"Shuhua Li, Yongsheng Qian, Junwei Zeng, Xu Wei","doi":"10.1016/j.physa.2025.130497","DOIUrl":"10.1016/j.physa.2025.130497","url":null,"abstract":"<div><div>The lane-changing behavior of vehicles in highway merging areas is a crucial factor affecting road flow and safety. Due to the size and power performance limitations of large vehicles, they cause more significant interference to the surrounding vehicles, thereby reducing the traffic capacity of the main road and ramp in the merging area. To study the impact of large vehicles on the driving behavior of different types of drivers in highway ramp merging sections, this paper analyzes the driving behavior differences of different driver types based on the vehicle driving state data from the Mirror-Traffic database. It constructs a vehicle gap acceptance model for highway ramp merging sections under the influence of large vehicles and verifies the rationality of the model. On this basis, taking the unidirectional three-lane highway ramp merging area under the condition of vehicle-road coordination as the research object, the game benefit function of merging vehicles in the merging area is redefined. To achieve optimal traffic efficiency in the merging area and minimize vehicle travel time and delay, an induction optimization method and a cooperative control strategy are proposed, and a group vehicle induction distribution optimization model is established. The multi-vehicle cooperative induction distribution method can adjust the merging speed and position of vehicles, optimizing vehicle merging trajectories. Simulation results show that under the condition of vehicle-road coordination, the average speed of the group of vehicles increased by 5–15 %, the average flow increased by 8–16 %, vehicle collision safety was improved, vehicle delay time was significantly reduced, and with the increase in traffic flow in the merging area, the optimization effect became more significant.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130497"},"PeriodicalIF":2.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579361","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

Vehicle navigation path optimization based on complex networks

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-04 DOI: 10.1016/j.physa.2025.130509

Changxi Ma, Mingxi Zhao, Yang Liu

{"title":"Vehicle navigation path optimization based on complex networks","authors":"Changxi Ma, Mingxi Zhao, Yang Liu","doi":"10.1016/j.physa.2025.130509","DOIUrl":"10.1016/j.physa.2025.130509","url":null,"abstract":"<div><div>Vehicle navigation path optimization, an essential means to prevent and alleviate traffic congestion, assists users in finding optimal routes from origin to destination based on acquired traffic information. This paper proposes a vehicle navigation path optimization approach that incorporates complex networks. Initially, a complex network-based multi-objective optimization model is developed to address total travel time and cost objectives. Subsequently, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is enhanced by integrating a machine learning approach and designing a competitive selection operator, along with crossover and mutation operators based on hierarchical clustering, to create a multi-objective vehicle navigation path optimization algorithm. Finally, case studies validate the model and algorithm’s effectiveness. Experimental results demonstrate the superiority of the proposed machine learning and NSGA-II hybrid algorithm over traditional NSGA-II and NSGA-III. This research achieves rational and balanced distribution of traffic flow across road segments by appropriately guiding vehicles, thereby improving traffic network efficiency.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130509"},"PeriodicalIF":2.8,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579467","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

The collision-avoiding flocking of a Cucker–Smale model with pinning control and external perturbation

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-03 DOI: 10.1016/j.physa.2025.130466

Jianlong Ren, Qiming Liu, Ping Li

引用次数: 0

Traffic flow phenomena in large sporting events – empirical analysis and macroscopic simulation of the Vasaloppet

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-01 DOI: 10.1016/j.physa.2025.130481

Klaus Bogenberger , Martin Treiber , Patrick Malcolm

{"title":"Traffic flow phenomena in large sporting events – empirical analysis and macroscopic simulation of the Vasaloppet","authors":"Klaus Bogenberger , Martin Treiber , Patrick Malcolm","doi":"10.1016/j.physa.2025.130481","DOIUrl":"10.1016/j.physa.2025.130481","url":null,"abstract":"<div><div>In large sporting events, traffic flow phenomena similar to car traffic can be observed. The Vasaloppet, a long-distance cross-country skiing race in Sweden, exemplifies this. Athletes use classical techniques and race in tracks akin to small lanes, where athlete traffic jams can impede performance. This study empirically analyzes these phenomena using eight years of split-time data and GPS tracks. We identified critical bottlenecks, jams, and stress points where athletes must wait while the race clock continues to tick. The nature of movement under free-flow conditions is largely dispersive due to varying abilities and grouping by skill level. Using comprehensive data and observations from the Vasaloppet, we developed a two-phase macroscopic simulation model to predict and understand athlete flow during races. One phase models free-flow conditions, and the other congested conditions. A multi-class approach was implemented, with each class having different speed distributions based on official split time data. Using this model, we simulated the race under status-quo conditions, as well as with two potential measures to reduce waiting time for participants: a staggered start and a widening of the race course. Both measures result in massively reduced congestion and waiting times compared to the status quo. While these measures are unlikely to be implemented in future Vasaloppet races due to tradition and nature conservation respectively, our model could be applied to various mass sporting events, such as other cross-country skiing, running, cycling, and inline skating events. It can aid organizers who can test different measures to resolve athlete traffic jams.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130481"},"PeriodicalIF":2.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hybrid projective synchronization of complex-valued memristive neural networks via concise prescribed-time control strategies

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-01 DOI: 10.1016/j.physa.2025.130465

Hao Pu , Fengjun Li , Qingyun Wang , Jie Ran

{"title":"Hybrid projective synchronization of complex-valued memristive neural networks via concise prescribed-time control strategies","authors":"Hao Pu , Fengjun Li , Qingyun Wang , Jie Ran","doi":"10.1016/j.physa.2025.130465","DOIUrl":"10.1016/j.physa.2025.130465","url":null,"abstract":"<div><div>This article aims to consider the prescribed-time hybrid projective synchronization of fully complex-valued memristive delayed neural networks with discontinuous activation. Above all, a new prescribed-time stability lemma is established, of which the settling time is directly a parameter of the auxiliary function and the conservatism of the conditions is reduced. Unlike common research methods, to simplify the operation, the complex-valued memristive neural network model is converted into one with uncertain parameters in view of the convex analysis approach. Subsequently, applying Filippov’s solution theory, prescribed-time stability theory, inequality techniques, and non-separation method, several novel and concise sufficient criteria are established to ensure the considered systems achieve prescribed-time synchronization by designing some controllers. Additionally, unlike common power-law type prescribed-time controllers, the ones designed in this paper are simpler because they do not involve sign function and time-delay term and have relatively fewer terms. Especially, one of their control gains is a time variable rather than a constant. And the prescribed synchronization time is independent of any initial values and parameters of the system, and can be preset arbitrarily according to actual needs. Compared with existing works, the hybrid projective coefficients of this paper are complex-valued that can be adjusted rather than real-valued, and projective synchronization, complete synchronization and anti-synchronization are its special cases. Eventually, numerical simulation results are furnished to manifest the effectiveness of the acquired theoretical outcomes.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"665 ","pages":"Article 130465"},"PeriodicalIF":2.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552964","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

Unlocking thermodynamic multitasking: Exploring the functioning of two-qubit engines through coherence and entanglement

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-01 DOI: 10.1016/j.physa.2025.130469

Hachem Tarif , Abdallah Slaoui , Rachid Ahl Laamara

{"title":"Unlocking thermodynamic multitasking: Exploring the functioning of two-qubit engines through coherence and entanglement","authors":"Hachem Tarif , Abdallah Slaoui , Rachid Ahl Laamara","doi":"10.1016/j.physa.2025.130469","DOIUrl":"10.1016/j.physa.2025.130469","url":null,"abstract":"<div><div>Recent studies have investigated the role of entanglement in the operation of a two-qubit system as a heat engine, showing that work can be extracted from a single heat bath without direct heat dissipation between the two-qubit system and the cold bath (Bresque et al., 2021). In this work, we explore the impact of operating the same two-qubit system model with two heat baths and direct dissipation to the environment by applying both a local and a global Markovian master equation. The addition of a second heat bath enables the system to operate in different modes depending on the initial quantum state. We examine the temporal behavior of concurrence entanglement and quantum coherence, analyzing their observable roles in transitions between various operational regimes. Additionally, we investigate the evolution of information flow throughout the working cycle of the two-qubit system, focusing on the influence of individual and collective decoherence on the system’s efficiency and operational modes. We identify the optimal parameter regions for the engine and refrigerator modes to achieve maximum performance. Finally, we investigate the effect of coherence outside the system on its thermodynamic quantities.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"668 ","pages":"Article 130469"},"PeriodicalIF":2.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807824","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